50+ Data Analytics Jobs in India

Overview

We're looking for a Mid-to senior level data analyst who can create underwriting methodologies based on users' financial data, assist with regular evaluation and reporting, and help us in continuous product improvement. The ideal candidate should have previous experience in a good product-based startup who can be a go-getter, and has helped the product to launch different functionalities, and has experience stabilizing it.

Roles and Responsibilities

• Analytical Skills, Data Analytics, and Statistics
• Strong communication skills
• Proficiency in SQL, Python, and Excel is mandatory.
• Attention to detail and ability to work with large datasets
• Degree in Mathematics, Statistics, Computer Science, or related field
• Relevant work experience in the finance industry is a plus
• Strong proficiency in MS Excel and knowledge of data visualization tools such as Redash.
• ML/Statistical model or algorithm is a bonus
• A good understanding of the product life cycle and product-based analytical experience is a must
• The ability to communicate with cross-functional teams and help the stakeholders with the right insights is a must
• Ability to thrive in a fast-paced environment of start-up is a must

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Namskaram

Senior Product Analyst

Context:

We are looking for a Senior Product Analyst with experience in mobile App analytics, who is passionate about building digital products that can put yoga and meditation from a realized master in the hands of 7 billion people on the planet.

You will join a small and evolving team that is passionate about realizing Sadhguru’s vision and at the same time is also committed towards their own personal growth. You will be hands-on and at the same time get an opportunity to define, and lead the analytics practice, and to shape up the future of the digital products at Isha.

Responsibilities:

●     Data analysis and solution building based on insights captured from data.

●     Responsible for giving insights to management and help in strategic planning.

●     Structure concise reports with insights supported by solid analytics and logical thinking.

●     Cross-team projects and streamlining of the process.

●     The root cause Analysis of problems and suggesting improvements to product/ops based on insights.

●     Effectively working with complex data sets with minimal guidance, including cleaning and wrangling data to quickly unearth insights and trends and effectively communicating these to leadership through appropriate data summaries, visualizations and narratives.

●     Answer business questions and provide recommendations through a combination of

●     Descriptive, inquisitive and prescriptive analytics.

Requirements:

●     Strong 3-5 year experience in analytics.

●     Experience in working on analytics for a mobile App.

●     Proficiency in SQL, Excel and at least one visualization tool like tableau or qlikview.

●     Demonstrated ability of solving complex problems and attention to detail.

●     Demonstrated ability of work independently with stakeholders and cross functional teams, preferably in a startup environment.

●     Exposure to a statistical or analytical language such as R or Python.

●     Exposure to ML algorithms and modeling techniques.

●     Open to remote working.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. In this role, you will be responsible for analyzing complex datasets, generating actionable insights, and supporting strategic decision-making processes. You will collaborate with cross-functional teams, develop data models, and create compelling reports and visualizations to communicate findings effectively.

Key Responsibilities:

• Data Analysis: Perform in-depth analysis of large datasets to identify trends, patterns, and correlations. Utilize statistical methods and data mining techniques to extract actionable insights.
• Reporting & Visualization: Develop and deliver comprehensive reports and interactive dashboards that effectively communicate data insights and business performance to stakeholders.
• Data Modeling: Build and maintain data models that support business operations and decision-making processes. Conduct data validation and ensure accuracy and consistency.
• Business Intelligence: Collaborate with business leaders and teams to understand their data needs and translate them into analytical requirements. Provide data-driven recommendations to support strategic initiatives.

*Job Title:** Data Analyst

**Location:** Permanent Work from Home

**Job Type:** Full-Time

**Job Description:**

We are seeking a highly motivated and skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, incident management, and real-time data reporting. The role demands exceptional communication skills, both written and spoken, as well as the ability to work flexible shifts to support our global operations.

**Key Responsibilities:**

- Perform data analysis to identify trends, anomalies, and insights.

- Manage and resolve incidents effectively using tools like Jira and Slack.

- Conduct real-time data analysis and reporting to support business decisions.

- Generate comprehensive reports and dashboards to visualize data findings.

- Collaborate with cross-functional teams to ensure data integrity and accuracy.

- Communicate findings and recommendations clearly and concisely to stakeholders.

- Flexibility to work in different time zones as required.

**Required Qualifications:**

- Bachelor’s degree in Computer Science or a related field.

- Proven experience in data analysis and incident management.

- Proficiency in using Jira and Slack for communication and incident tracking.

- Strong skills in real-time data analysis and reporting.

- Exceptional communication skills in English, both written and spoken.

- Ability to work flexible shifts to accommodate global operations.

**Preferred Qualifications:**

- Experience with Python and automation tools is a plus.

**Work Environment Requirements:**

- Must have a reliable laptop/computer and home-based infrastructure, including high-speed WiFi and power backup.

- Ability to work effectively in a remote environment with minimal supervision.

**Benefits:**

- Permanent work-from-home opportunity.

- Flexible working hours.

- Opportunity to work with a dynamic and diverse team.

If you meet the above qualifications and are eager to contribute to a fast-paced and innovative team, we encourage you to apply.

Candidate Profile -

- Should have worked either as a Key Account Manager with E-Com platform/ P&L Lead

- Good Understanding of the Amazon ecosystem and managing AMS campaigns

- Proven work experience in E-Com of at least 3-4 yrs. Proficient in P&L Management, operations, and data analytics

- Entrepreneurial mindset to get the job done single-handedly. Strong Analytical as well as Communication skills

Role Description -

This is a crucial role spanning across top e-commerce customers. A key responsibility of this role is to own, manage, and build the P&L for the channel.

1)This role would be responsible for driving key projects and delivering the AOP for the MP team aligning with various internal stakeholders such as KAMs, category managers, supply chain, and finance teams.

2) Develop strategic plans for our brand in line with business and sales objectives.

3) Complete responsibility for volume forecasts, supply chain efficiency, and account reconciliations.

4) Deliver and exceed on growth, revenue, and market share objectives

Job Title: MIS Executive

Job Type - Full Time

Location – Indore

Summary/Objective:

The MIS Executive will be responsible for managing and analyzing data, generating reports, and providing insights to support effective decision-making within the organization. The role involves maintaining and enhancing the Management Information System (MIS) to ensure accurate and timely information flow.

Key Responsibilities:

·        Collect, compile, and analyze data from various sources to create comprehensive reports.

·        Develop and maintain efficient databases, ensuring data accuracy and integrity.

·        Generate and distribute daily, weekly, and monthly reports to relevant stakeholders.

·        Implement data validation and cleansing processes to ensure data accuracy.

·        Collaborate with different departments to understand their data requirements and provide support in extracting relevant information.

·        Identify and implement process improvements to enhance data quality and reporting efficiency.

·        Conduct regular audits of data to identify and rectify discrepancies.

·        Stay updated on industry trends and best practices in data management and reporting.

Qualifications/Requirements:

Education:

·        Bachelor's degree in any field.

Experience:

·        Minimum 2 years of proven experience in an MIS Executive role.

·        Jewelry industry experience is good to have

Required Skills:

·        Skilled in product cost analysis, order management, invoicing knowledge, and comprehensive inventory oversight.

·        Strong analytical and problem-solving skills.

·        Proficient in data analysis tools and Microsoft Excel.

·        Database management systems and SQL.

·        Excellent communication and interpersonal skills.

·        Ability to work independently and collaboratively in a team.

·        Detail-oriented with a high level of accuracy.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Read less

Performance Marketing

ABOUT MERAGI:

Meragi is a rapidly growing start up in India's thriving $50 billion wedding industry. As a full-stack technology platform, we revolutionize the way wedding-related services are bought and delivered. Our mission is to create pioneering industry-first solutions that address the complexities of this industry, utilizing innovative technology to consult, design, and sell wedding services with a strong focus on ensuring high-quality fulfilment. Backed by top-tier investors, we are at the forefront of transforming the wedding industry landscape.

This is an incredible opportunity to join a fast-paced, innovative company and make a significant impact in shaping the future of the wedding industry.

JOB SCOPE:

• Managing all the paid marketing campaigns
• Coordinating with the content team
• Creating different reports and MIS for the Marketing Vertical
• 
  

REQUIREMENTS:

• 1-2 years of experience in Data Analyst / marketing
• Expertise expected in running performance marketing for either Google or Meta platforms
• Ability to crunch numbers and build insight reports

GOOD TO HAVE:

Google certification for marketing

Be a part of Meragi and make your ideas a reality and be a part of our journey to transform the wedding industry and give a memorable experience to Global customers.

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

About Davis Index

Davis Index is a market intelligence platform and publication that provides price benchmarks for recycled materials and primary metals.

Our team of dedicated reporters, analysts, and data specialists publish and process over 1,400 proprietary price indexes, metals futures prices, and other reference data including market intelligence, news, and analysis through an industry-leading technology platform.

About the role 

Here at Davis Index, we look to bring true, accurate market insights, news and data to the recycling industry. This enables sellers and buyers to boost their margins, and access daily market intelligence, data analytics, and news.

We’re looking for a keen data expert who will take on a high-impact role that focuses on end-to-end data management, BI and analysis tasks within a specific functional area or data type. If taking on challenges in building, extracting, refining and very importantly automating data processes is something you enjoy doing, apply to us now!

Key Role

Data visualization - Power BI, Tableau,Python

DB Management - SQL, MangoDB,

Data collection, Cleaning, Modelling , Analysis

Programming Languages and Tools: Python, R, VBA, Appscript, Excel, Google sheets

What you will do in this role

• Build and maintain data pipelines from internal databases.
• Data mapping of data elements between source and target systems.
• Create data documentation including mappings and quality thresholds.
• Build and maintain analytical SQL/MongoDB queries, scripts.
• Build and maintain Python scripts for data analysis/cleaning/structuring.
• Build and maintain visualizations; delivering voluminous information in comprehensible forms or in ways that make it simple to recognise patterns, trends, and correlations.
• Identify and develop data quality initiatives and opportunities for automation.
• Investigate, track, and report data issues.
• Utilize various data workflow management and analysis tools.
• Ability and desire to learn new processes, tools, and technologies.
• Understanding fundamental AI and ML concepts.

Must have experience and qualifications

• Bachelor's degree in Computer Science, Engineering, or Data related field required.
• 2+ years’ experience in data management.
• Advanced proficiency with Microsoft Excel and VBA/ Google sheets and AppScript
• Proficiency with MongoDB/SQL.
• Familiarity with Python for data manipulation and process automation preferred.
• Proficiency with various data types and formats including, but not limited to JSON.
• Intermediate proficiency with HTML/CSS.
• Data-driven strategic planning
• Strong background in data analysis, data reporting, and data management coupled with the adept process mapping and improvements.
• Strong research skills.
• Attention to detail.

What you can expect

Work closely with a global team helping bring market intelligence to the recycling world. As a part of the Davis Index team we look to foster relationships and help you grow with us. You can also expect:

• Work with leading minds from the recycling industry and be part of a growing, energetic global team
• Exposure to developments and tools within your field ensures evolution in your career and skill building along with competitive compensation.
• Health insurance coverage, paid vacation days and flexible work hours helping you maintain a work-life balance
• Have the opportunity to network and collaborate in a diverse community

Apply Directly using this link : https://nyteco.keka.com/careers/jobdetails/54122

• Engage with client business team managers and leaders independently to understand their requirements, help them structure their needs into data needs, prepare functional and technical specifications for execution and ensure delivery from the data team. This can be combination of ETL Processes, Reporting Tools, Analytics tools like SAS, R and alike.
• Lead and manage the Business Analytics team, ensuring effective execution of projects and initiatives.
• Develop and implement analytics strategies to support business objectives and drive data-driven decision-making.
• Analyze complex data sets to provide actionable insights that improve business performance.
• Collaborate with other departments to identify opportunities for process improvements and implement data-driven solutions.
• Oversee the development, maintenance, and enhancement of dashboards, reports, and analytical tools.
• Stay updated with the latest industry trends and technologies in analytics and data
• science.

Cambridge Wealth, a distinguished brand from Baker Street Fintech Pvt Ltd, stands as a premier player in the wealth and mutual fund distribution sector. Awarded by BSE Star and Mutual Fund houses, Cambridge Wealth serves UHNI/HNI/NRI clients, including renowned professionals from various industries. An early-stage Fintech Startup, we are committed to developing a Fintech platform with a human interface for our Investors. We are committed to a Customer Centric approach and our culture thrives on ownership and excellence, backed by a founding team with a proven track record of delivering industry-leading product experiences and earning accolades such as the Webby awards for Digital Strategy. Join us on our exciting journey to redefine the future of investing.

Visit our website: http://www.cambridgewealth.in

Overview:

As a Business/Product Analyst at Baker Street, you will play a pivotal role in driving the development and evolution of our wealth management product. This role offers a unique opportunity to collaborate with diverse teams, utilizing your analytical expertise to contribute to the success of our transformative financial product.

Key Responsibilities:

Market Analysis:

• Conduct in-depth market research to identify industry trends, competitor products, and emerging technologies in wealth management.
• Collaborate with stakeholders to gather market insights, translating them into actionable product strategies.

Product Development:

• Define and document detailed product requirements based on market research and customer feedback.
• Work closely with the product development team to ensure the timely and successful delivery of product features and enhancements.
• Contribute to the development of user stories, use cases, and acceptance criteria.

Data Analysis:

• Analyze user behavior, engagement metrics, and relevant data to derive insights that inform strategic product decisions.
• Utilize statistical methods to identify patterns, trends, and opportunities for product optimization.

Collaboration:

• Collaborate with cross-functional teams, including development, design, marketing, and customer support, to ensure a seamless and user-friendly product experience.
• Serve as a liaison between technical and non-technical stakeholders, facilitating effective communication.

Documentation:

• Maintain comprehensive documentation of product features, specifications, and processes.
• Create and update user manuals, training materials, and other documentation as required.

Qualifications:

• Bachelor's degree in Business, Finance, Computer Science, or a related field
• Proven analytical and problem-solving skills
• Exceptional written and verbal communication skills
• Ability to thrive in a collaborative, fast-paced environment
• Basic understanding of financial concepts and wealth management principles

Preferred Skills:

• Familiarity with Agile development methodologies
• Methodical and thorough documentation skills
• Root Cause Analysis expertise
• Previous experience in the fintech industry
• Knowledge of regulatory frameworks in the financial sector

Note: The provided job description outlines general responsibilities and is not exhaustive. Additional responsibilities may be assigned as needed.

Not sure whether you should apply? Here's a quick checklist to make things easier. You are someone who:

• Have worked(0-1.5 years preferably) or are looking to work specifically with an early-stage Fintech startup.
• You are ready to be a part of a Zero To One Journey which implies that you shall be involved in building fintech products and processes from the ground up.
• You are comfortable to work in an unstructured environment with a small team where you decide what your day looks like and take initiative to take up the right piece of work, own it and work with the founding team on it.
• You'd like a fair chance to work your way up to a founding team position which involves taking key business decisions and taking accountability for it.
• This is not an environment where someone will be checking up on you every few hours. It is up to you to schedule check-ins whenever you find the need to, else we assume you are progressing well with your tasks. You will be expected to find solutions to problems and suggest improvements.
• You want complete ownership for your role & be able to drive it the way you think is right. You are looking at a long-term horizon and plan to grow with the company.
• You are a self-starter and take ownership of deliverables to develop a consensus with the team on approach and methods and deliver to them.

Compensation

Competitive compensation as per experience and industry standards, with the possibility of ESOPS participation.

Freshers/those with limited experience may apply for a 6 month paid internship with the possibility of a PPO upon successful evaluation.

The stipend would be Rs.15,000/- pm.

Location

This is a full-time WFO position based at our headquarters at Prabhat Road, Pune.

Our Hiring Process:

1. You Apply and answer a couple of quick questions [5 min]
2. Online Assessment Test [1 hour]
3. Recruiter screening phone interview [20 min]
4. Skills assessment take-home challenge
5. Technical interview: [30 min - includes a discussion around the submitted assignment]
6. Founder's interview: [30 min]
7. We make you an offer and proceed for reference and BGV check.

Vision: Designing and Developing products and features based on data and advanced

analytics.

- leverage business knowledge and data to uncover the potential of the data

- data science applications development

- hypothesis testing and modelling

- evaluate performance of various ML/DS models

- and much more

Role: The role is to define big ‘Why’ and ‘What’? Ideate and build products and features

using advanced data science and machine learning models which can help internal/external

stakeholders along with customers. It requires you to experiment on multiple hypothesis

using statistical and machine learning algorithms and bring better decision making to the

table. The role requires you to work closely with business and machine learning/data

science team.

Responsibility:

- Define and solve the problem that exist in the market and solve by using data

- Writing Product requirement documents with user stories

- Monitor products and feature’s performance

- Make strong communication and feedback loop with customers and

stakeholders

- Bring best product practices to the table

Autonomy:

- Create product roadmap for data products

- Daily decision making about product

Requirements:

- Graduate/ Post graduate degree in Marketing, Business Administration,

Engineering etc.

- 4+ Years of Product Management experience in high growth tech start up

- Strong knowledge of Excel and Database

- Analyzing data and model performance

- Knowledge of latest technology and innovation trends

- Working knowledge of application development process and hands on product

management systems JIRA, Aha etc.

- Comfortable in programming language like R and Python

- Sound knowledge of cloud-based architecture

- Ability to develop hypothesis and testing models

Optiblack is a product growth firm that works with product leaders to drive revenue from data. Optiblack has worked with 50+ firms and created an impact of $300M+ USD

Optiblack is looking to add a product analyst that works with their clients on client engagement.

Job Descriptions

0. Monitoring

 Look at data from various sources daily to understand insights

 Identify areas of improvement

 Create the dashboards as per requirements

 Build tracking plan

1. Data Analysis

 Gather and analyze data from various sources to extract actionable insights.

 Use statistical techniques and data visualization to interpret trends and patterns.

 Identify opportunities for product improvements based on data analysis.

2. Product Performance Evaluation

 Monitor key product metrics and performance indicators.

 Conduct regular evaluations to assess product performance against goals and benchmarks.

 Identify areas of improvement and recommend strategies for optimization.

3. Market Research

 Conduct market research to understand industry trends, customer needs, and competitive landscape.

 Analyze market data and customer feedback to identify market opportunities.

 Provide insights on target market segments and potential customer segments.

4. User Experience Enhancement

 Collaborate with UX UI designers to improve the user experience of the product.

 Conduct user research, interviews, and usability testing to gather feedback on product usability and satisfaction.

 Recommend enhancements and features to improve user experience.

5. Requirement Gathering

 Collaborate with stakeholders to gather and document product requirements.

 Conduct interviews, workshops, and surveys to understand user and business needs.

 Translate requirements into clear and actionable user stories or product specifications.

6. A/B Testing

 Plan, execute, and analyze A/B Tests to evaluate the impact of changes or new features.

 Use data from A/B tests to make data-driven decisions and optimize the product.

7. Reporting and Presentation

 Prepare reports and presentations to communicate insights, findings, and recommendations.

 Present data analysis and product performance evaluations to stakeholders and cross-functional teams.

 Clearly articulate complex concepts in a concise and understandable manner.

Skills Required for a Product Analyst

1. Technical Skills

 Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.

 Tools: Mixpanel or similar

 Market Research: Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.

 Product Management Tools: Familiarity with product management tools such as Jira, Trello, or Asana to manage product backlogs, roadmaps, and user stories.

 User Experience (UX) Design: Understanding of UX principles and the ability to work closely with designers to enhance the user experience of the product.

 A/B Testing: Experience in planning, executing, and analyzing A/B tests to measure the impact of product changes.

 SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.

2. Workplace Skills

 Communication: Strong verbal and written communication skills to effectively collaborate with stakeholders, present findings, and document requirements.

 Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.

 Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.

 Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.

 Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.

 Adaptability: Flexibility to navigate in a dynamic and fast-paced work environment, adjusting priorities as needed.

 Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations. 

Description of Role: 

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities:

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1.Review, analyze, and resolve data quality issues for enterprise core data in the IM Data Warehouse.

2.Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.

3.Coordinate the onboarding of data from various internal / external sources into the central repository.

4.Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.

5.End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.

6.Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.

7.Document business requirements and use cases for data-related projects.

8.Manage change control process and participate in user acceptance testing (UAT) activities.

9.Support other DAG initiatives.

Key Skills:

1.Ability to interact with business and technology teams to understand processes and data usage.

2.Ability to do data analysis - to trace data from source to consumption.

3.Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach.

4.Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.

5.Strong communication skills

Key qualifications:

1.Bachelor’s Degree required and any other relevant academic course a plus.

2.Strong domain knowledge of investment data

3.5+ years of data management, data analytics, or data governance experience in financial services

4.Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.

5.Experience working with BI reporting tools like Tableau, Power BI is preferred.

6.Knowledge in coding, Python is a plus.

7.Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.

Role Description

This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.

Qualifications

• Data Science, Statistics, and Data Analytics skills
• Data Visualization and Data Analysis skills
• Strong problem-solving and critical thinking abilities
• Ability to work with large datasets and perform data preprocessing
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and predictive modeling
• Excellent communication and presentation skills
• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Experience in the field of video and text analytics is a plus

https://www.linkedin.com/in/rahulvms?utm_source=share&;utm_campaign=share_via&utm_content=profile&utm_medium=android_app

Urgently loocking for *Java/Python/.Net/Software Testing / Frontend Developer/ Backend Developer/

AWS Devops Cloud Engineer/ Data Scientist/ Data Analytics/ Business Analyst/ Sale's Force' Consultant/ SAP all Models.

Exp. 0 to 4 yr 

Salary - 1.8 to Upto 12 LPA

Charges - 40 K to 1 L

Confirm Selection 

Work from home & Office Both

More Info.

Call Or WhatsApp 

*SECRET VMS TECHNOLOGIES LLP*

Immediate opening for a Senior Technical Trainer for our company Vy TCDC

(https://www.vytcdc.com/) in Karur

We are back in the office so no work from home.

Role: Technical Trainer

Minimum exp: 0 to 4yrs exp

Job Types: Full-time, Regular / Permanent

Location: Karur

Notice Period: Expecting immediate joiners

Job Description

• Design effective training programs

• Train all candidates

• Conduct seminars, workshops, individual training sessions, etc.

• Monitor candidate performance and response to training

• Strong Knowledge of React Js, Java , React Native, Angular, Node Js,Java , Python, Full Stack Development.

• Conduct seminars, workshops, individual training sessions, etc

• Conduct evaluations to identify areas of improvement

Job Responsibility:

* Coordinate with CSMs to complete Pilot sales tracker, QBR Decks, End of pilot Decks

*Monitor Daily Sales volume and alert CSMs of Locations with Low volume counts

*Collaborate with other teammates to extract data figures, data entry (Google Sheets & Google Slides), and monitor key performance indicators (KPIs) to determine business initiatives’ success

*Helping in Minor Integration Changes

*Helping with Tickets and giving support when required

* Basic product knowledge of the software to assist with non-client facing action items 

* Good communication skill preferred           

About the Role:

We are on the lookout for a dynamic Marketing Automation and Data Analytics Specialist, someone who is not only adept in marketing automation/operation but also possesses a keen expertise in data analytics and visualization. This role is tailor-made for individuals who are proficient with tools like Eloqua, Marketo, Salesforce Pardot, and Power BI.

As our Marketing Automation and Data Analytics Specialist, your responsibilities will span across managing and optimizing marketing automation systems and overseeing the migration and enhancement of data systems and dashboards. You will play a pivotal role in blending marketing strategies with data analytics, ensuring the creation of visually appealing and effective reports and dashboards. Collaborating closely with marketing teams, you will help in making data-driven decisions that propel the company forward.

We believe in fostering an environment where initiative and self-direction are valued. While you will receive the necessary guidance and support, the autonomy of your role is a testament to our trust in your abilities and professionalism.

Responsibilities:

• Manage and optimize marketing automation systems (Eloqua, Marketo, Salesforce Pardot) to map and improve business processes.
• Develop, audit, and enhance data systems, ensuring accuracy and efficiency in marketing efforts.
• Build and migrate interactive, visually appealing dashboards and reports.
• Develop and maintain reporting and analytics for marketing efforts, database health, lead scoring, and dashboard performance.
• Handle technical aspects of key marketing systems and integrate them with data visualization tools like Power BI.
• Review and improve existing SQL data sources for effective integration and analytics.
• Collaborate closely with sales, marketing, and analytics teams to define requirements, establish best practices, and ensure successful outcomes.
• Ensure all marketing data, dashboards, and reports are accurate and effectively meet business needs.

Ideal Candidate Qualities:

• Strong commitment to the role with a focus on long-term growth.
• Exceptional communication and collaboration skills across diverse teams.
• High degree of autonomy and ability to work effectively without micromanagement.
• Strong attention to detail and organization skills.

Qualifications:

• Hands-on experience with marketing automation systems and data analytics tools like Eloqua, Marketo, Salesforce Pardot and Power Bi .
• Proven experience in data visualization and dashboard creation using Power BI.
• Experience with SQL, including building and optimizing queries.
• Knowledge of ABM and Intent Signaling technologies is a plus.
• Outstanding analytical skills with an ability to work with complex datasets.
• Familiarity with data collection, cleaning, and transformation processes.

Benefits:

• Work-from-home flexibility.
• Career advancement opportunities and professional development support.
• Supportive and collaborative team environment.

Hiring Process:

The hiring process at InEvolution is thoughtfully designed to ensure alignment between your career goals and our company's objectives. The process will include:

• Initial Phone Screening: A brief conversation to discuss your background and understand your career aspirations.
• Team Introduction Interview: Candidates who excel in the first round will engage in a deeper discussion with our team, providing insights into our work culture and the specificities of the role.
• Technical Assessment: In the final round, you will meet our Technical Director for an in-depth conversation about your technical skills and how these align with the demands of the role.

Role/ Responsibilities:

Design and own product roadmap. Ensure steady execution of product life cycle processes from idea to final launch.

Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth

Create buy-in for the product vision both internally and with key external partners

Translate product strategy into detailed requirements and prototypes Scope and prioritize activities based on business and customer impact Manage product team and guide whenever necessary.

Work closely with engineering teams to deliver quick time-to-market and optimal resources.

Drive product launches including working with the public relations team, executives, and other product management team members Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed

Act as a product evangelist to build awareness and understanding Assist in developing Product Strategy and Product Roadmap.

Define and create metrics to measure the success of the product. Work on continuous enhancements at each stage of the product life cycle Ability to conceptualize, manage and prioritize tasks

Requirements:

5+ work experience in product management.

Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management

Solid technical background with understanding and/or hands-on experience in software development and web technologies

Strong problem-solving skills and willingness to roll up one’s sleeves to get the job

Skilled at working effectively with cross-functional teams in a matrix organization

Excellent written and verbal communication skills

Should have hands-on knowledge with A/B Testing, Data Analysis & User Research.

Should be well-versed with Market Trends

Job Description

Understanding the client's requirements and consequently strategizing effective lead generation campaigns accordingly

Being the post-sales SPOC for the client and ensuring optimal lead delivery

Overseeing a team of Telecallers and data entry analysts to ensure client delivery and satisfaction

Working closely with the sales and business development team and communicating campaign feasibility after doing effective due diligence of each proposed campaign

Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
5. Optimize and tune data pipelines for performance, scalability, and reliability.
6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
7. Implement security measures and best practices to protect sensitive data.
8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
4. Solid understanding of data analytics concepts and techniques.
5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
6. Proficiency in programming languages such as Python and SQL.
7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
8. Excellent analytical and problem-solving skills with attention to detail.
9. Strong communication and collaboration skills to work effectively with cross-functional teams.
10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• Certifications in Power BI or related technologies.
• Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
• Knowledge of machine learning concepts and frameworks.

Digital marketing encompasses various roles and responsibilities, including: 

 1. Digital Strategist: Developing comprehensive digital marketing strategies aligned with business goals.

 2. Content Creation: Crafting engaging content for websites, social media, emails, and other digital channels. 

 3. SEO Specialist: Optimizing online content to improve search engine rankings and visibility. 

 4. Social Media Manager: Managing and executing social media campaigns across platforms.

 5. Email Marketing Specialist: Creating and executing email campaigns to nurture leads and engage audiences. 

 6. PPC Specialist: Managing pay-per-click advertising campaigns on platforms like Google Ads. 

 7. Analytics and Data Analyst: Analyzing digital marketing metrics to measure campaign performance and derive insights.

 8. Web Developer/Designer: Ensuring the website is user-friendly, aesthetically pleasing, and optimized for conversions. 

 9. Digital Advertising Manager: Overseeing online advertising efforts, including display ads and social media ads.

 10. CRM Manager: Utilizing customer relationship management tools to optimize customer interactions and retention.

 11. Influencer Marketing Coordinator: Collaborating with influencers to promote products or services.

 12. Video Marketing Specialist: Creating and optimizing video content for digital platforms.

 13. Mobile Marketing Specialist: online sales platforms.

 15. Brand Manager: Ensuring consistent brand representation across all digital channels. These roles work together to create a cohesive and effective digital marketing strategy.

Job Title: Data Analyst with Python

Experience: 4+ years

Location: Mumbai

Working Mode: Onsite

Primary Skills: Python, Data Analysis of RDs, FDs, Saving Accounts, Banking domain, Risk Consultant, Car Loan Model, Cross-sell model

Qualification: Any graduation

Job Description

1. With 4 to 5 years of banking analytics experience

2. Data Analyst profile with good domain understanding

3. Good with Python and worked on Liabilities (Mandatory)

4. For Liabilities Should have worked on (Saving A/c, FD,RD) (Mandatory)

5. Good with stakeholder management and requirement gathering

6. Only from banking industry

We are seeking a dedicated and skilled Qualitative Research Professional with a minimum of 1-3 years of experience in market research. In this role, you will be responsible for assisting in the planning, execution, and analysis of qualitative research studies to provide valuable insights for our organization. If you are passionate about qualitative research and eager to contribute your expertise, we encourage you to apply. 

Note: should be Delhi or Noida Based, it will be on-site job 

Responsibilities: 

• Assist in the design and execution of qualitative research projects, including in-depth interviews, focus groups, and surveys, conducted globally. 
• Contribute to the development and refinement of research protocols, questionnaires, and discussion guides. 
• Participate in respondent recruitment efforts, ensuring diverse and representative samples. 
• Conduct interviews, assist in facilitating focus group discussions, and help with data collection. 
• Support the analysis and interpretation of qualitative data to extract meaningful insights. 
• Collaborate with senior researchers and cross-functional teams to integrate qualitative findings into decision-making processes. 
• Stay informed about industry trends and best practices in qualitative research. 
• Adhere to ethical research standards and data privacy compliance. 

Qualifications: 

• Bachelor's or Master's degree in a relevant field 
• Minimum of 1-3 years of experience in conducting qualitative research within a market research context. 
• Strong interpersonal and communication skills to assist in participant engagement. 
• Effective written and verbal communication skills. 
• Capacity to work effectively both independently and as part of a team. 
• Attention to detail and the ability to think analytically. 
• Understanding of research ethics and data protection regulations. 
• Basic knowledge of qualitative research methods, with a willingness to learn and grow in the field. 

Preferred Qualifications: 

• Previous experience working in a market research setting. 
• Experienced in execution of projects globally in all markets. 
• Covered all segments- B2C, B2B, Healthcare 
• Familiarity with quantitative research methods and survey design. 
• Proficiency in using survey and interview platforms. 
• Familiarity with data collection and transcription tools. 
• Contributions or involvement in previous qualitative research projects. 

This is a full-time on-site position that offers opportunities for professional development and career advancement. If you have a passion for qualitative research and wish to contribute to our organization's success, please apply with your resume detailing your relevant experience and qualifications. 

Brief:

As a BI Developer at GradRight, you’ll be working with Tableau and supporting data sources to build reports for the requirements of various business teams.

Responsibilities:

1. Translate business needs to technical specifications for reports and dashboards
2. Design, build and deploy BI solutions
3. Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
4. Evaluate and improve existing BI systems
5. Collaborate with teams to integrate systems
6. Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
7. Create visualizations and reports for requested projects
8. Develop and update technical documentation around reports

Requirements:

1. At least 3 years of proven experience as a BI Developer
2. Experience at a startup
3. Background in data warehouse design (e.g. dimensional modeling) and data mining
4. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
5. Working knowledge of Tableau
6. Knowledge of SQL queries and MongoDB
7. Proven abilities to take initiative and be innovative
8. Analytical mind with a problem-solving aptitude

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

●Work in a Business Process Outsourcing (BPO) Module providing Sales and Operations solutions to different local and international Business Development Unit and clients.

● Conduct quality-related reviews of customer service and engagement performance, evaluating against client and internal quality standards to ensure proper call and transaction handling. This includes call monitoring, review of data entry/transactions processed, and evaluation of any other performance metric that may impact quality (i.e. handle time, speed of answer, etc.).

● Provide specific feedback to supervisory and management staff regarding agent areas of opportunity for their team members. Support supervisory staff in their coaching efforts and provide coaching assistance as needed.

● Responsible for completing the required number of quality reviews for each customer service or engagement agent based on BPO Sales and Operations performance guidelines.

● Document all observations thoroughly by maintaining observation forms and call center monitoring databases.

● Participate in internal and external client monitoring/calibration sessions in order to ensure thorough understanding of programs, goals and client standards of excellence.

● As applicable, responsible for handling agent-level calls to maintain personal knowledge of program(s).

● May participate in and support the Quality Management (QM) Program in identifying and acting on opportunities that improve the quality and value of the service we provide to our clients and our employees.

● Responsible for understanding and complying with all policies, procedures, and regulations relating to job duties.

● Perform other duties as assigned by management.

The specific responsibilities and requirements for a Senior QA Specialist in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards. 

Work Experience Requirement

●Must have prior QA Lead experience in BPO set up

● Experience working in performance based setting

● Demonstrate leadership capability

● Provide mentorship to QA

● Strong analytical and problem solving skills

● Has a comprehensive understanding of QA concepts and principles.

● Basic to Proficient knowledge on data reporting and analysis.

● People management and development skills

● Project Management

● Proficient in Microsoft Excel

● Must be willing to report onsite in Cambodia

Salary Php80,000

INR 117,587

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Content Production: Creating content to support demand generation initiatives, and grow brand awareness in a competitive category of an online casino company.

● Writing content for different marketing channels (such as website, blogs, thought leadership pieces, social media, podcasts, webinar, etc.) as assigned to effectively reach the desired target players and marketing goals.

● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.

● Research and use AI-based tools to improve and speed up content creation processes.

● Researching content and consumer trends to ensure that content is relevant and appealing.

● Help develop and participate in market research for the purposes of thought leadership content production and opportunities, and competitive intelligence for content marketing.

● Security: Maintain a secure online environment, including protecting player data and preventing cyberattacks.

● Managing content calendars (and supporting calendar management) and ensuring the content you write is consistent with brand standards and meets the brief as-assigned.

● Coordinating with project manager / content manager to ensure the timely delivery of assignments.

● Keeping up to date with content trends, consumer preferences, and advancements in technology.

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

The specific responsibilities and requirements for a Marketing Content Supervisor/Manager in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards. 

Salary

Php80, 000 - Php100, 000

INR 117,587.- 146,960

Work Experience Requirements

Essential Qualifications

● Excellent research, writing, editing, proofreading, content creation and communication skills.

● Proficiency/experience in formulating corporate/brand/product messaging.

● Strong understanding of SEO and content practices.

● Proficiency in MS Office, Zoom, Slack, marketing platforms related to creative content creation/ project management/ workflow.

● Content writing / copywriting portfolio demonstrating scope of content/copy writing capabilities and application of writing and SEO best practices.

● Highly motivated, self-starter, able to prioritize projects, accept responsibility and follow through without close supervision on every step.

● Demonstrated strong analytical skills with an action-oriented mindset focused on data-driven results.

● Experience in AI-based content creation tools is a plus. Openness to research and use AI tools required.

● Passion for learning and self-improvement.

● Detail-oriented team player with a positive attitude.

● Ability to embrace change and love working in dynamic, growing environments.

● Experience with research, content production, writing on-brand and turning thought pieces into multiple content assets by simplifying complex concepts preferred.

● Ability to keep abreast of content trends and advancements in content strategies and technologies.

● On-camera or on-mic experience or desire to speak and present preferred.

● Must be willing to report onsite in Cambodia

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units in the online casino industry.

● Photography Mastery: Capture and edit exceptional photos for marketing campaigns, online casino game showcases, and social media.

● Videography Brilliance: Create compelling video content that engages and informs our players, from short social snippets to detailed product explainers.

● Marketing and Promotions: Collaborate with the marketing team to plan and execute promotional campaigns to attract and retain players.

● Marketing Design: Develop content that aligns with our marketing objectives, targeting specific channels and demographics especially online casinos..

● Collaborative Projects: Work closely with our design and marketing teams to deliver cohesive and innovative multimedia content.

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

● Trend & Tech Awareness: Stay updated with current trends in multimedia design and the latest hardware and software tools.

The specific responsibilities and requirements for a Sr. Multimedia Designer in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.

Work Experience Requirements

● 5+ Years in Multimedia Design: Your portfolio should include at least five years in a multimedia role, focusing on photography, videography, and audio design.

● Tech-Savvy: Proficiency in industry-standard software such as Adobe Premiere Pro, Photoshop, After Effect, and Audition.

● Portfolio Excellence: A portfolio showcasing multimedia projects, especially in photography and videography.

● Marketing Flair: Previous experience in creating marketing-specific content is a must.

● Outstanding Communication: Impeccable oral and written skills are essential for team collaboration and stakeholder management.

● SEO & SEM Experience: Understanding search engine optimisation and search engine marketing will be beneficial.

● Data-Driven Approach: Familiarity with Google Analytics to gauge the success of your projects is a plus.

● Team Leadership: Experience leading or mentoring a creative team will give you an edge.

● Project Management Skills: Ability to oversee multiple projects from inception to completion within a fast-paced environment.

● Must be willing to report onsite in Cambodia

1. Minimum 2.5 years of experience as a Python Developer.
2. Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
3. Minimum 2.5 years of experience in SQL/ Postgress
4. Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
5. Minimum 2+ years of experience in deployment (CICD with Jenkins)
6. Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure

Senior Director – Strategy (Data & Analytics)

The client is a leading media agency who drive more strategic, creative and integrated media approach established to drive better business results. Their team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to their client's business.

Responsibilities of the role:

We are looking for a talented Director to join our leadership team and manage the delivery of data engineering projects . In this role, you will be responsible to manage a team of highly skilled engineers, scientists and analysts to deliver data-driven solutions to exceed client goals. 

 As the Director, Data and Analytics, you will work with the agency and client to enable the data and tech solutions that lay the foundation for executing brand & performance marketing. 

• Set the vision, strategy, and roadmap to deliver cutting edge data, technology and analytics solutions across a portfolio of clients .
• Become a trusted advisor to clients and consult on growth opportunities and identify new way to use data to solve business challenges and support growth, 
• Support development and deployment of products and services across multiple cloud environments 
• Collaborate with a cross-functional team of client leads, application developers, operations engineers, and architects to translate complex product requirements into technical specs and design requirements 
• Act as a consultant and subject matter expert for internal stakeholders in GroupM Data & Analytics, GroupM Engineering and agency data science and tech leads 
• Build & manage a team of experts in Data Strategy, Measurement/Business Analysts, Advanced Analytics, and Marketing Technology specialists to deliver best in class audience, measurement strategy in collaboration with Client, Strategy, and Investment teams. 

What you will need:

·      7+ years of experience in data analytics / quantitative research

• Proven thought-leadership, and a deep understanding of the data and technology issues facing the marketing industry
• Experience building, managing and inspiring large and diverse teams of data and technology specialists
• A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable marketing objectives.

·      Master’s or Bachelor’s in Statistics, Mathematics or related quantitative field

About client:

Our client is the world’s largest media investment company. In fact, they are responsible for one in every three ads you see globally. In this role, you will be leading the advocacy narrative for a large cluster of brands for the largest FMCG organization in India.

BEST THINGS ABOUT THE JOB

1. Strategic Leadership Opportunities: As the Director of Product Marketing, you will play a pivotal role in shaping and driving the product marketing landscape for a leading consumer goods company. Your strategic insights and hands-on expertise will directly impact product marketing campaigns, contributing to the organization's growth and market dominance.

2. Transformational Role: In just three months, you'll immerse yourself in the product marketing landscape, and within a year, you'll lead process excellence, innovation, and collaboration. This dynamic progression will challenge you and provide a platform to showcase your capabilities in product marketing strategy.

3. Global Exposure and Collaboration: Working closely with global and APAC teams will allow you to collaborate across diverse markets, cultures, and strategies. Your insights will contribute to a cohesive global product marketing strategy, expanding your professional horizons.

4. Innovation and Creativity: The role offers the chance to introduce innovative product marketing strategies, technologies, and creative campaign approaches. Your ideas will drive exceptional results, ensuring that your creativity is recognized and celebrated.

5. Established Industry Leader: The FMCG brand is a market leader in the fast-moving consumer goods sector. Working with them means being a part of a company that values excellence, growth, and innovation. Your efforts will be instrumental in shaping the product marketing landscape for this industry giant.

REQUIRED EXPERIENCE

• You bring a proven track record of at least 8 years in product marketing, with progressively increasing responsibilities.

• Extensive hands-on experience with Google, Meta (Facebook, Instagram), Google Ads Data Hub, Snapchat, Spotify, and Programmatic Advertising platforms like The Trade Desk and DV 360.

• Working knowledge of Customer Data Platforms (CDP), Data Clean Rooms, First Party Data enhancement tools, and techniques.

REQUIRED COMPETENCIES

• Digital Marketing Expertise: Demonstrated expertise in digital marketing strategies, including SEO, SEM, social media, email marketing, content marketing, and more.

• Data Analysis: Proficiency in analysing data to derive actionable insights, track KPIs, and measure the effectiveness of campaigns. Experience with tools like Google Analytics, marketing 

automation platforms, and CRM systems.

• Process Optimization: Proven ability to design, implement, and optimize processes to improve efficiency and effectiveness. Knowledge of methodologies such as Lean, Six Sigma, or Agile is a plus.

• Project Management: Strong project management skills, including the ability to prioritize tasks, manage timelines, and ensure successful campaign execution within deadlines.

• Collaboration: Excellent communication and collaboration skills to work effectively with crossfunctional teams. Ability to lead, inspire, and influence team members to achieve common goals.

• Technical Proficiency: Familiarity with various digital marketing tools, software, and platforms, including advertising platforms, marketing automation software, and CMS systems.

• Effective Communication: Strong written and oral communication skills in English, with the ability to articulate ideas clearly and persuasively. You can communicate complex concepts to 

both technical and non-technical stakeholders.

• Extreme Ownership: You take full ownership of your projects, campaigns, and decisions, embracing accountability and driving results. Your proactive attitude ensures that challenges are 

met head-on.

• Strategic Thinking: You possess a strategic mindset, able to analyze the bigger picture and translate it into actionable digital marketing strategies that align with business goals.

• Innovative Mindset: Your creative thinking and willingness to explore new ideas contribute to the constant evolution of our digital marketing efforts.

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Job description

Day-to-day responsibilities include:

1. Understanding the product offerings and managing new deliverables

2. Working on product planning and its complete roadmap, including UI/UX

3. Collaborating with FynTune's stakeholders, including both the management and their clients who utilize FynTune's technology solutions, such as insurance companies, aggregators, and financial enterprises, to plan projects effectively

4. Working along with the QA team on product logic and product validations

5. Working along with the technology team on product development

6. Working with the project team & supporting them on product deliveries

7. Coordinating with stakeholders (internal & external) for the smooth delivery of the overall project

8. Understanding the requirements of clients on the project front and getting the deliveries from FynTune's technology and product team

Who can apply

Only those candidates can apply who:

1. are available for fulltime (in-office)

2. who are graduates and freshers.

3. Should have relevant skills and interests.

Role: Product Manager

Industry Type: IT Services & Consulting

Department: Product Management

Employment Type: Full Time, Permanent

Role Category: Product Management - Technology

Education

UG: Any Graduate

Company Profile :

Merilytics, an Accordion company is a fast-growing analytics firm offering advanced a and intelligent analytical solutions to clients globally. We combine domain expertise, advanced analytics, and technology to provide robust solutions for clients' business problems. You can find further details about the company at https://merilytics.com.

We partner with our clients in Private Equity, CPG, Retail, Healthcare, Media & Entertainment, Technology, Logistics industries etc. by providing analytical solutions to generate superior returns. We solve clients' business problems by analyzing large amount of data to help guide their Operations, Marketing, Pricing, Customer Strategies, and much more.

Position :

- Business Associate at Merilytics will be working on complex analytical projects and is the primary owner of the work streams involved.

- The Business Associates are expected to lead the team of Business Analysts to deliver robust analytical solutions consistently and mentor the Analysts for professional development.

Location : Hyderabad

Roles and Responsibilities :

The roles and responsibilities of a Business Associate will include the below:

- Proactively provide thought leadership to the team and have complete control on the delivery process of the project.

- Understand the client's point of view and translate it into sound judgment calls in ambiguous analytical situations.

- Highlight potential analytical issues upfront and resolve them independently.

- Synthesizes the analysis and derives insights independently.

- Identify the crux of the client problem and leverage it to draw relevant actionable insights from the analysis/work.

- Ability to manage multiple Analysts and provide customized guidance for individual development.

- Resonate with our five core values - Client First, Excellence, Integrity, Respect and Teamwork.

Pre-requisites and skillsets required to apply for this role :

- Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.

- Should have 2-4 years of experience.

- Strong leadership & proactive communication to coordinate with the project team and other internal stakeholders.

- Ability to use business judgement and a structured approach towards solving complex problems.

- Experience in client-facing/professional services environment is a plus.

- Strong hard skills on analytics tools such as R, Python, SQL, and Excel is a plus.

Why Explore a Career at Merilytics :

- High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.

- Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.

- Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.

- Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.

Other benefits for full time employees:

(i) Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor's consultations, counselors, etc.

(ii) Corporate Meal card options for ease of use and tax benefits.

(iii) Work dinners, team lunches, company sponsored team outings and celebrations.

(iv) Reimbursement support for travel to the office, as and when promulgated by the Company.

(v) Cab reimbursement for women employees beyond a certain time of the day.

(vi) Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.

(vii) Reward and recognition platform to celebrate professional and personal milestones.

(viii) A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

Role - Senior Analytics Executive

Experience - 1-2 years

Location - Open (Remote working option available)

About Company :-

Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.

About the role/ Some of the things we'd like you to do:

- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.

- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.

- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.

- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.

- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.

About yourself/ Requirements:

- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)

- 1-2 years of relevant work experience in data analysis; digital media experience desired

- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).

- Is proficient in statistical principles and how they apply to tasks/work items.

- Excellent problem-solving skills and the ability to analyze complex data sets.

- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.

- Ability to work independently and as part of a team, with strong collaboration skills.

- Demonstrated ability to manage multiple projects and prioritize tasks effectively.

- Passion tor continuous learning and staying current with industry trends and best practices in analytics.

·      The Objective:

You will play a crucial role in designing, implementing, and maintaining our data infrastructure, run tests and update the systems

·      Job function and requirements

o  Expert in Python, Pandas and Numpy with knowledge of Python web Framework such as Django and Flask.

o  Able to integrate multiple data sources and databases into one system.

o  Basic understanding of frontend technologies like HTML, CSS, JavaScript.

o  Able to build data pipelines.

o  Strong unit test and debugging skills.

o  Understanding of fundamental design principles behind a scalable application

o  Good understanding of RDBMS databases among Mysql or Postgresql.

o  Able to analyze and transform raw data.

·      About us

Mitibase helps companies find warm prospects every month that are most relevant, and then helps their team to act on those with automation. We do so by automatically tracking key accounts and contacts for job changes and relationships triggers and surfaces them as warm leads in your sales pipeline.

The client is an industry leader in CRM messaging solutions on SAS platform. They work with global customers across many industries including contact centers, financial services, higher education, retail, staffing, wellness, and more. Our customers range from small and mid-size businesses to large global enterprises.

As a Director of Information Systems , you will oversee and manage the organization's information technology (IT) and information systems operations. You will leverage Information systems, tools, data and analytics to support stakeholders across Product, Sales, Marketing, Operations, and Finance.

You will lead and directly manage a team of data analysts, while partnering with other teams across the organization and directly report to the COO.

Key Responsibilities:

● Collaborate with senior management to understand their data requirements and develop data management strategy aligned with the organization's goals and objectives. Define KPI around data and lead the initiatives.

● Develop and implement data architecture, which is a blueprint for how data is organized and stored within an organization. Provide necessary interventions to ensure critical business decisions are taken well in time.

● Implement master data management (MDM) processes and solutions to establish a single source of truth for critical data entities. Define data hierarchies, data models, and data stewardship responsibilities. Oversee the maintenance and synchronization of master data across systems.

● Work with other departments to identify data trends and patterns that support the organization’s objectives. This will include using data visualization tools, such as dashboards and charts, to help identify trends and insights.

● Evaluate, select, and manage vendors and service providers to ensure effective delivery of services and solutions.

● Build and manage a high-performing systems and information team.Set clear goals, performance expectations, and KPIs for the team, conducting regular performance reviews and providing guidance/feedback.

Qualifications and Skills:

● Bachelor's degree in computer science, information systems, or a related field.

● Experience ( 7-10 years) in systems management, information technology, or a related role within the SaaS industry.

● Strong knowledge of data analysis methods, tools, and best practices. Experience in Salesforce and Power BI is a must.

● Ability to do requirements analysis of business processes for efficiency, data accuracy, data control, and make data-driven recommendations

● Excellent problem-solving and decision-making skills, attention to detail, with the ability to prioritize tasks and manage multiple projects simultaneously.

● Knowledge of industry best practices and emerging trends in systems management and information technology.

● Demonstrated ability to lead and manage cross-functional teams, fostering collaboration and driving results.

● Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

• Consolidating daily reporting from different advertiser dashboards
• Monitoring discrepancy between advertiser and publisher numbers
• Maintaining month-end consolidated reports for Publishers and Advertisers
• Perform ad trafficking, ensuring accurate implementation of creative assets, tracking codes, and targeting specifications.
• Monitor campaign performance, analyze data, and provide actionable insights to improve campaign effectiveness and optimize ROI.
• Collaborate with cross-functional teams to ensure campaigns are executed according to client objectives and deadlines.
• Stay up-to-date with industry trends, ad tech developments, and best practices to enhance campaign strategies.

6+ years’ experience in Azure architecture, Azure Data Services, design and development. Significant experience as DW architect on several initiatives. • Rich Data/Dimensional modeling expertise • Expert knowledge of Azure tools and services centered around data and analytics (Azure Synapse, Data Lake, Data Factory etc.) • Experience designing and building complete ETL processes moving and transforming data from ODS, Staging and Data Warehousing, cloud and hybrid. Education and Experience: • Bachelor’s Degree in computer science or related field required. • 10 or more years’ experience managing and designing systems in an enterprise infrastructure environment required.