50+ Tableau Jobs in India

Job Title : Technology Strategy and Reporting Specialist

Total Experience : 8+ Years

Relevant Experience : Minimum 3 years of experience in Strategic technology planning and reporting.

Location : Remote, Anywhere in India

Job Type : Full Time

Job Overview :

We are seeking a Technology Strategy and Reporting Specialist to lead the development of strategic dashboards, quarterly board reports, and executive-level communications.

The ideal candidate will bridge the gap between technical insights and business strategy, delivering high-impact reports that drive executive decision-making and organizational performance.

Mandatory Skills :

Power BI or Tableau, Advanced Excel, Executive Reporting, Data Analysis, Strategic Dashboarding, IT KPIs, Storytelling, and Communication Skills

Key Responsibilities :

• Quarterly Board Reporting : Deliver structured, governance-aligned technology reports with KPIs, risk assessments, and strategic recommendations for executive leadership and the board.
• Dashboard Development : Build and manage executive dashboards using tools like Power BI/Tableau to showcase real-time performance and strategic metrics.
• Executive Storytelling : Create polished narratives and presentations that translate technical data into compelling business insights.
• Data Analysis & Insights : Analyze performance data, market trends, and technology strategies to identify actionable insights and business opportunities.
• Reporting Framework : Standardize reporting templates, processes, and governance models to ensure consistent, high-quality outputs.
• Technology Performance Monitoring : Track initiative outcomes, ROI, and budget adherence with scorecards and strategic alignment reports.

Desired Experience :

• 3+ Years in business intelligence, strategic reporting, or executive communication.
• Hands-on experience with dashboard tools (Power BI, Tableau, Excel).
• Strong understanding of IT performance metrics and KPIs.
• Proven record of creating board-level/C-suite presentations.

Qualifications :

• Bachelor's in Business Analytics, Computer Science, Information Systems, Engineering, or related field (Master’s preferred).
• Certifications such as PMP, Power BI, Tableau, or Six Sigma are a plus.

Tableau Server Administrator (10+ Yrs Exp.) 📊🔒

📍Location: Remote

🗓️ Experience: 10+ years

MandatorySkills & Qualifications:

1. Proven expertise in Tableau architecture, clustering, scalability, and high availability.

2. Proficiency in PowerShell, Python, or Shell scripting.

3. Experience with cloud platforms (AWS, Azure, GCP) and Tableau Cloud.

4. Familiarity with database systems (SQL Server, Oracle, Snowflake).

5. Any certification Plus.

!!Hiring!! Business Analyst Interns ( unpaid )!!!

💻 Full-Time Remote Internship | Unpaid | Duration: 6 Months

📄 Certification of Completion | 5 Days Working (Mon–Fri)

🕛 Shift Timing: 12:00 PM to 9:00 PM

📝 Requirements:

• Basic knowledge of business analysis concepts

• Comfortable with Excel, Google Sheets & documentation

• Strong analytical skills & problem-solving mindset

• Good communication and writing ability

• Self-motivated and eager to learn

🎁 What You’ll Gain:

• Real-time learning experience in a tech company

• Exposure to structured business and data processes

• Internship Completion Certificate

• Potential for full-time employment based on performance

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.

Only candidates currently in Bihar or Open to relocate to Bihar, please apply:

Job Description:

This is an exciting opportunity for an experienced industry professional with strong analytical and technical skills to join and add value to a dedicated and friendly team. We are looking for a Data Analyst who is driven by data-driven decision-making and insights. As a core member of the Analytics Team, the candidate will take ownership of data analysis projects by working independently with little supervision.

The ideal candidate is a highly resourceful and innovative professional with extensive experience in data analysis, statistical modeling, and data visualization. The candidate must have a strong command of data analysis tools like SAS/SPSS, Power BI/Tableau, or R, along with expertise in MS Excel and MS PowerPoint. The role requires optimizing data collection procedures, generating reports, and applying statistical techniques for hypothesis testing and data interpretation.

Key Responsibilities:

• Perform data analysis using tools like SAS, SPSS, Power BI, Tableau, or R.

• Optimize data collection procedures and generate reports on a weekly, monthly, and quarterly basis.

• Utilize statistical techniques for hypothesis testing to validate data and interpretations.

• Apply data mining techniques and OLAP methodologies for in-depth insights.

• Develop dashboards and data visualizations to present findings effectively.

• Collaborate with cross-functional teams to define, design, and execute data-driven strategies.

• Ensure the accuracy and integrity of data used for analysis and reporting.

• Utilize advanced Excel skills to manipulate and analyze large datasets.

• Prepare technical documentation and presentations for stakeholders.

Candidate Profile:

Required Qualifications:

• Qualification: MCA / Graduate / Post Graduate in Statistics or MCA or BE/B.Tech in Computer Science & Engineering, Information Technology, or Electronics.

• A minimum of 2 years' experience in data analysis using SAS/SPSS, Power BI/Tableau, or R.

• Proficiency in MS Office with expertise in MS Excel & MS PowerPoint.

• Strong analytical skills with attention to detail.

• Experience in data mining and OLAP methodologies.

• Ability to generate insights and reports based on data trends.

• Excellent communication and presentation skills.

Desired Qualifications:

• Experience in predictive analytics and machine learning techniques.

• Knowledge of SQL and database management.

• Familiarity with Python for data analysis.

• Experience in automating reporting processes.

We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

We are looking for a dynamic and skilled Data Science and Data Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in data analytics, data science, and business intelligence tools.

We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.

We’re seeking a detail-oriented Data Analyst with proven experience in corporate settings to transform raw data into actionable insights. You’ll collaborate across departments to support strategic decision-making, optimize operations, and enhance business performance through data-driven analysis.

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

We are seeking a highly motivated and knowledgeable DADS Trainer to conduct hands-on training in Data Analytics and Data Science. The ideal candidate will have strong domain expertise, coding proficiency, and a passion for teaching concepts in Python, statistics, machine learning, data visualization, and tools like Excel, Power BI, and SQL.

About the Role:

We are looking for a Senior Technical Customer Success Manager to join our growing team. This is a client-facing role focused on ensuring successful adoption and value realization of our SaaS solutions. The ideal candidate will come from a strong analytics background, possess hands-on skills in SQL and Python or R, and have experience working with dashboarding tools. Prior experience in eCommerce or retail domains is a strong plus.

Responsibilities:

• Own post-sale customer relationship and act as the primary technical point of contact.
• Drive product adoption and usage through effective onboarding, training, and ongoing support.
• Work closely with clients to understand business goals and align them with product capabilities.
• Collaborate with internal product, engineering, and data teams to deliver solutions and enhancements tailored to client needs.
• Analyze customer data and usage trends to proactively identify opportunities and risks.
• Build dashboards or reports for customers using internal tools or integrations.
• Lead business reviews, share insights, and communicate value delivered.
• Support customers in configuring rules, data integrations, and troubleshooting issues.
• Drive renewal and expansion by ensuring customer satisfaction and delivering measurable outcomes.

Requirements:

• 7+ years of experience in a Customer Success, Technical Account Management, or Solution Consulting role in a SaaS or software product company.
• Strong SQL skills and working experience with Python or R.
• Experience with dashboarding tools such as Tableau, Power BI, Looker, or similar.
• Understanding of data pipelines, APIs, and data modeling.
• Excellent communication and stakeholder management skills.
• Proven track record of managing mid to large enterprise clients.
• Experience in eCommerce, retail, or consumer-facing businesses is highly desirable.
• Ability to translate technical details into business context and vice versa.
• Bachelor’s or Master’s degree in Computer Science, Analytics, Engineering, or related field.

Nice to Have:

• Exposure to machine learning workflows, recommendation systems, or pricing analytics.
• Familiarity with cloud platforms (AWS/GCP/Azure).
• Experience working with cross-functional teams in Agile environments.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Responsibilities:

• Develop, maintain and manage advanced reporting, analytics, dashboards in Tableau or PowerBI
• Ability to identify right data Visualization based on Business requirement.
• Perform and document data analysis, data validation and data mapping design
• Review and improve existing reports, dashboards, and analytics systems.
• Help optimise Tableau reports/dashboards performance on the server
• Develop presentations and documents that will have an impact
• Communicate complex topics to the team through both written and oral communications
• Ensure that project deliverable meet business requirements and ensure to complete the project within assigned timelines

We are seeking a passionate and experienced Data Analyst Trainer to design, develop, and deliver training content for aspiring or existing data professionals. The trainer will be responsible for teaching core data analytics skills, tools, and industry practices to ensure trainees are job-ready or upskilled.

Job Title: Business Analyst (Fresher)

Job Type: Full-Time | Remote | 5 Days Working

Salary: ₹7,000 – ₹8,000 per month

Experience Required: 6 months to 1 year (Freshers with relevant skills only)

Joining: Immediate Joiners Only

About the Role:

We are looking for freshers who have strong foundational skills and knowledge in both Business Analysis. This is a position where you will be responsible for manually handling tasks related to both business testing functions.

Key Responsibilities:

• Gather and analyze business requirements from stakeholders
• Create documentation such as BRDs, FRDs, user stories, and process flows
• Perform manual testing of software applications
• Prepare test cases, test plans, and report bugs clearly
• Collaborate with development and business teams to ensure product quality and requirement clarity
• Provide timely updates and reports on progress and findings

Requirements:

• Must have skills and knowledge in Business Analysis
• Must be able to manage both roles manually and independently
• Proficiency in tools related to BA
• Excellent communication skills in English (spoken and written)
• Must have a personal laptop and a stable internet connection
• Must be available to join immediately

Who Should Apply:

• Freshers with 6 months to 1 year of experience in relevant roles
• Candidates who are confident in handling BA
• Individuals looking to build a strong foundation in both domains in a remote, full-time role

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience.

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

About the company:

Ketto is Asia's largest tech-enabled crowdfunding platform with a vision - Healthcare for all. We are a profit-making organization with a valuation of more than 100 Million USD. With over 1,100 crores raised from more than 60 lakh donors, we have positively impacted the lives of 2 lakh+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create a large-scale impact on a daily basis by taking our product to the next level

Role Overview:

Ketto, Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission.

Key Responsibilities

●  Data Strategy & Automation:

○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance.

○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making.

●  Data Analysis & Insight Generation:

○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success.

○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes.

●  Reporting & Quality Assurance:

○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed.

○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement.

●  Collaboration & Strategic Planning:

○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy.

○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform.

○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making.

Required Skills and Qualifications

●  Technical Expertise:

○ Strong background in SQL, Statistics and Maths

●  Analytical & Strategic Mindset:

○ Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies.

○ Experience with statistical analysis, advanced analytics

●  Communication & Collaboration:

○ Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders.

○ Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals.

●  Preferred Experience:

○ Proven experience in advanced analytics roles

○ Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

Why Join Ketto?

At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you!

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Job Description:

We are seeking a Tableau Developer with 5+ years of experience to join our Core Analytics team. The candidate will work on large-scale BI projects using Tableau and related tools.

Must Have:

• Strong expertise in Tableau Desktop and Server, including add-ons like Data and Server Management.
• Ability to interpret business requirements, build wireframes, and finalize KPIs, calculations, and designs.
• Participate in design discussions to implement best practices for dashboards and reports.
• Build scalable BI and Analytics products based on feedback while adhering to best practices.
• Propose multiple solutions for a given problem, leveraging toolset functionality.
• Optimize data sources and dashboards while ensuring business requirements are met.
• Collaborate with product, platform, and program teams for timely delivery of dashboards and reports.
• Provide suggestions and take feedback to deliver future-ready dashboards.
• Peer review team members’ dashboards, offering constructive feedback to improve overall design.
• Proficient in SQL, UI/UX practices, and alation, with an understanding of good data models for reporting.
• Mentor less experienced team members.

Role Summary:

Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.

Key functions & responsibilities:

· Communication & interaction with Project Manager to understand the requirement

· Dashboard designing, development and deployment using Tableau eco-system

· Ensure delivery within given time frame while maintaining quality

· Stay up to date with current tech and bring relevant ideas to the table

· Proactively work with the Management team to identify and resolve issues

· Performs other related duties as assigned or advised

· He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character

· Contribute in dashboard designing, R&D and project delivery using Tableau

Experience:

· Overall 3-7 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 3 years.

· At least 3 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.

Technology & Skills:

· Hands-on expertise of Tableau administration and maintenance

· Strong working knowledge and development experience with Tableau Server and Desktop

· Strong knowledge in SQL, PL/SQL and Data modelling

· Knowledge of databases like Microsoft SQL Server, Oracle, etc.

· Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.

· Good communication & Analytical skills with Excellent creative and conceptual thinking abilities

· Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written

Job Title : Senior AWS Data Engineer

Experience : 5+ Years

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Senior AWS Data Engineer with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

Job Summary:

We are seeking an experienced Tableau Server Administrator to manage, maintain, and optimize our multi-node, on-premise Tableau Server environment. The ideal candidate will have strong expertise in Tableau Server architecture, installation, upgrades, and troubleshooting, as well as ensuring its scalability, performance, and security. This role will also involve collaboration with business intelligence teams to support Tableau dashboards and workflows.

Key Responsibilities:

Tableau Server Installation & Configuration:

1. Manage multi-node, on-premise Tableau Server deployment and configuration.
2. Install and upgrade Tableau Server across environments (Development, QA, Production).
3. Configure and maintain Tableau Server processes, services, and configurations for optimal performance.

Performance Monitoring & Optimization:

1. Monitor server performance, disk space, and log files to ensure availability and efficiency.
2. Conduct capacity planning and fine-tune server resources (e.g., CPU, RAM, and disk utilization) to support increasing workloads.
3. Optimize Tableau extracts, data connections, and server processes for improved speed and efficiency.

User Management & Security:

1. Manage user accounts, groups, roles, and permissions in Tableau Server.
2. Implement and enforce security protocols for data, content, and access controls.
3. Collaborate with IT teams to ensure compliance with organizational security policies.

Troubleshooting & Issue Resolution:

1. Diagnose and resolve Tableau Server-related issues, including downtime, errors, and performance bottlenecks.
2. Work with Tableau Support to address critical incidents and escalations.

Automation & Scripting:

1. Automate administrative tasks using Tableau Server Command Line (tabcmd) and REST APIs.
2. Schedule and monitor Tableau extract refreshes, subscriptions, and workflows.

Collaboration with Stakeholders:

1. Work closely with BI developers, data engineers, and analysts to support Tableau content publishing and troubleshooting.
2. Assist in creating governance standards for Tableau content and server usage.

Data Connectivity & Integration:

1. Maintain and troubleshoot Tableau Server connections to various data sources, such as SQL databases, flat files, and APIs.
2. Collaborate with data teams to ensure high availability and data accuracy.

Upgrades, Patches & Backups:

1. Plan and execute Tableau Server upgrades, patches, and backups with minimal disruption to operations.
2. Implement disaster recovery plans and strategies for Tableau Server.

Documentation & Reporting:

1. Maintain detailed documentation for server configurations, upgrade logs, and processes.
2. Create usage reports, server activity logs, and audit trails for stakeholders.

Required Skills & Qualifications:

Technical Expertise:

• Strong experience with Tableau Server administration in a multi-node, on-premise environment.
• Proficiency in Tableau Desktop, Tableau Prep, and Tableau Server tools (tabcmd, TSM, REST API).
• Knowledge of Windows Server/Linux administration and networking concepts.
• Familiarity with scripting languages (Python, PowerShell, or Bash) for automation.

Database & Data Integration Skills:

• Experience with relational databases like SQL Server, PostgreSQL, Oracle, or MySQL.
• Knowledge of data extraction, ETL processes, and integrating Tableau with enterprise data sources.

Performance Tuning:

• Expertise in optimizing Tableau extracts, dashboards, and server configurations for high performance.

Problem-Solving Skills:

• Ability to troubleshoot server issues and resolve them efficiently.

Soft Skills:

• Excellent communication and collaboration skills.
• Strong organizational skills with attention to detail.

Preferred Qualifications:

• Tableau Server Certified Associate or Certified Professional certification.
• Experience managing Tableau in high-availability and disaster recovery scenarios.
• Familiarity with Tableau Cloud or hybrid Tableau environments.
• Knowledge of load balancing, SSL certificate configuration, and Active Directory integration.

Benefits:

• Competitive salary and performance-based incentives.
• Opportunities for professional development and Tableau certifications.
• Flexible working hours and hybrid working options (if applicable).
• Access to cutting-edge BI tools and resources.

Job Title : Tech Lead - Data Engineering (AWS, 7+ Years)

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Tech Lead - Data Engineering with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

Responsibilities:

·       Analyze complex data sets to answer specific questions using MMIT’s market access data (MMIT) and Norstella claims data, third-party claims data (IQVIA LAAD, Symphony SHA). Applicant must have experience working with the aforementioned data sets exclusively.

·       Deliver consultative services to clients related to MMIT RWD sets

·       Produce complex analytical reports using data visualization tools such as Power BI or Tableau

·       Define customized technical specifications to surface MMIT RWD in MMIT tools. 

·       Execute work in a timely fashion with high accuracy, while managing various competing priorities; Perform thorough troubleshooting and execute QA; Communicate with internal teams to obtain required data

·       Ensure adherence to documentation requirements, process workflows, timelines, and escalation protocols

·       And other duties as assigned.

Requirements:

·       Bachelor’s Degree or relevant experience required

·       2-5 yrs. of professional experience in RWD analytics using SQL

·       Fundamental understanding of Pharma and Market access space

·       Strong analysis skills and proficiency with tools such as Tableau or PowerBI

·       Excellent written and verbal communication skills.

·       Analytical, critical thinking and creative problem-solving skills.

·       Relationship building skills.

·       Solid organizational skills including attention to detail and multitasking skills.

·       Excellent time management and prioritization skills.

Job Description for Data Engineer Role:- 

Must have:

Experience working with Programming languages. Solid foundational and conceptual knowledge is expected.

Experience working with Databases and SQL optimizations

Experience as a team lead or a tech lead and is able to independently drive tech decisions and execution and motivate the team in ambiguous problem spaces.

Problem Solving, Judgement and Strategic decisioning skills to be able to drive the team forward. 

Role and Responsibilities:

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and leaders from other team to refine the strategic needs of the project
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases
• Defining best practices for data validation and automating as much as possible; aligning with the enterprise standards

Qualifications -

• Experience with SQL and NoSQL databases.
• Experience with cloud platforms, preferably AWS.
• Strong experience with data warehousing and data lake technologies (Snowflake)
• Expertise in data modelling
• Experience with ETL/LT tools and methodologies
• Experience working on real-time Data Streaming and Data Streaming platforms
• 2+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
• 2+ years working with SQL and NoSQL databases, data modeling and data management
• 2+ years of experience with AWS, GCP, Azure, or another cloud service.

Job Title: Data Analyst Associate – Data Management  

Location: Mumbai, India  

Company: Wissen Technology

About Us:

Wissen Technology is a leading technology and consulting firm known for its strong commitment to excellence, innovation, and customer satisfaction. We are passionate about harnessing data to drive smart business decisions and deliver impactful insights. Join us in shaping the future of data management.

Role Overview:

We are looking for a meticulous and proactive Data Analyst Associate - Data Management to join our team. This role requires a keen attention to detail, solid organizational skills, and a foundational knowledge of the asset management industry. You will support data analysis, management, and reporting initiatives, focusing on ensuring accuracy, efficiency, and improved decision-making processes.

Key Responsibilities:

• Data Management: Support data integrity and accuracy across various data systems; handle data extraction, transformation, and loading (ETL) processes.
• Analysis & Reporting: Generate insightful reports and conduct data analysis, utilizing Microsoft Excel and Business Objects; provide data support for decision-making processes.
• Collaboration: Engage with global business areas, provide data-related support, and actively participate in relevant meetings.
• Documentation & Communication: Document data management procedures, contribute to data governance practices, and effectively communicate findings with team members and stakeholders.
• Process Improvement: Identify and implement improvements in data operations to enhance efficiency and effectiveness.
• Technical Proficiency: Utilize data management tools and develop insights using BI reporting tools, including Tableau or Power BI; familiarity with Python is a plus.

Qualifications:

• Education: BTech / BE / MCA or any related field
• Industry Knowledge: Basic understanding of the asset management industry and data management practices.
• Technical Skills: Proficiency in Microsoft Excel, with foundational knowledge of Microsoft Access and Business Objects. Knowledge of BI reporting tools (Tableau, Power BI) is preferred, and Python skills are a plus.
• Communication Skills: Strong written and verbal communication abilities, with a focus on customer service and responsiveness.
• Organizational Skills: Strong multitasking, prioritization, and time management skills; attention to detail is essential.
• Project Management: Ability to coordinate and manage project tasks effectively, meeting deadlines with minimal supervision.

Why Join Wissen Technology?

• Opportunity to be part of a growing team focused on data-driven innovation and quality.
• Exposure to global clients and complex data management projects.
• Competitive benefits, including health coverage, paid time off, and a collaborative work environment.

We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

+ About Us

At Pathfinder we identify with the need to build Strategy for Innovative Ventures in a ‘Digital Native’ manner. Our frameworks provide holistic guidance to startups navigating the challenging 0-1 terrain. We imbibe the adage – Strategy is what you see & not what you say, and transforming our frameworks into intuitive playbooks is the act at the end of the play.

+ Role Overview

We are looking for a highly motivated and detail-oriented specialist to join our team as a Venture Analyst. In this role, you will work with innovative ventures and play a pivotal role in our advisory team to build compelling cases that foster strategic initiatives. You will conduct client interviews, develop case wireframes, and structure work to represent strategic paths. The ideal candidate should possess the following capabilities – critical thinking, logical reasoning, and a keen business acumen.

+ Key Responsibilities

• Proficient in framing questions for RFIs: Skilled in identifying critical data requirements and crafting precise & insightful questions to gather essential information from clients through Requests for Information (RFIs)
• Process Documentation: Develop and record systematic methodologies for analysing business cases to ensure consistency across projects
• Team Collaboration: Foster a collaborative environment across teams to develop effective solutions to engagement pain points that improve client satisfaction and retention
• Report Presentation: Collaborate with clients and internal stakeholders to understand their requirements and present your findings. Engage with both parties to ensure their needs are met and effectively communicate your work

+ Qualifications

Education: ·Master’s degree in Business Administration, Finance, Economics, Statistics or a related field

Experience: 2-4 years of experience as a business analyst role within a start-up or management consulting firm

Skills & Capabilities:

• Understanding of business and innovation concepts
• Good knowledge of representing qualitative and quantitative info sets
• Proficiency in data visualization tools and software (e.g., MS Office, Tableau)
• Excellent report writing and presentation skills
• Familiarity with financial analysis and projections

+ Attributes

• Entrepreneurial mind-set with a passion for start-ups
• Ability to thrive in a fast-paced, dynamic environment
• High level of professionalism and integrity.

+ Why Join Us?

• Impact: Create industry-first propositions that propel start-ups towards exponential growth.
• Growth: Opportunities for professional development and career advancement.
• Culture: Be part of a collaborative and supportive team that values innovation and creativity.
• Compensation: Competitive salary and benefits package.

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.

Description of Role

• We are looking for an enthusiastic analytically minded data driven BI Consultant/Developer role in Mumbai based Data & Analytics team
• The Business Intelligence consultant/developer is a member of the analytics team whose focus is to provide hands-on consulting and
• · Understand and document the reporting business requirements, processes and workflows developing both written and visual depictions of requirements and process flows.
• · Work closely with BI product manager & lead dashboard design and information presentation ideation meetings with business stakeholders. 
• Works extensively in Tableau Desktop, MS Power BI designing and building highly customized dashboards to provide stunning visual anal build assets like datasets, reports and dashboards using tools like Tableau, Powerbi & dataiku for internal customers within investment (Performance, Marketing, Sales etc.)

Key responsibilities

• · Builds Tableau/Power BI Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources.
• · Understand Analytics & Business Intelligence framework and partner with Analytics Technology & Enterprise reporting Technology team to build & deploy reports and dashboards.
• · Evaluate data sources and technology options, recommend appropriate solutions.
• · Build and maintain a reporting data dictionary and data lineage.
• · Perform data analysis, data mapping, and develop ad hoc queries.
• · Write SQL queries, stored procedures, and scripts, ETL jobs.
• · Perform QA testing of developed deliverables and assist with User Acceptance Testing
• · Manage the prioritization, logging and tracking of user related issues, defects, enhancements, and work requests.

Experience and Skills

• · Analytic and data driven mindset with a finesse to build dashboards that tell a story.
• · Strong communication skills, interacting effectively with quantitative colleagues as well as less technical audiences.       
• · Minimum of 5 years of proven experience creating Dashboards, Reports and Visualizations with interactive capabilities.
• · Minimum of 5 years’ experience in business/data analysis and data preparation
• · Minimum 2 years of experience in working with big data & building data apps using Python.
• · Broad industry knowledge of investment management a plus
• · Excellent verbal and writing skills in English.
• · Excellent time management and ability to work under pressure to meet tight deadlines.
• · Maintain a strong commitment to quality. 

Key Responsibilities:

• Design, develop, support, and maintain automated business intelligence products using

Tableau.

• Good understanding of data warehousing and data management concepts including OLTP,

OLAP, Dimensional Modelling, star/snowflake schemas

• Rapidly design, develop, and implement reporting applications that embed KPI metrics and

actionable insights into the operational, tactical, and strategic activities of key business

functions.

• Identify business requirements, design processes leveraging/adapting the business logic, and

regularly communicate with business stakeholders to ensure delivery meets business needs.

• Design and code business intelligence projects using Tableau, ensuring best practices for data

visualization and implementation.

• Develop and maintain dashboards and data sources that meet and exceed customer

requirements.

• Utilize Python for data manipulation, automation, and integration tasks to support Tableau

development.

• Write and optimize SQL queries for data extraction, transformation, and loading processes.

• Partner with business information architects to understand the business use cases

supporting and fulfilling business and data strategy.

• Collaborate with Product Owners and cross-functional teams in an agile environment.

• Provide expertise and best practices for data visualization and Tableau implementations.

• Work alongside solution architects in RFI/RFP response solution design, customer

presentations, demonstrations, POCs, etc., for growth.

• Understanding of Project life cycle and quality processes.

Qualifications:

• 5+ years of experience in Tableau development; Tableau certification is highly preferred.

• Proficiency in Python for data manipulation, automation, and integration tasks.

• Strong understanding and experience with SQL for database management and query

optimization.

• Ability to independently learn new technologies and show initiative.

• Demonstrated ability to work independently with minimal direction.

• Desire to stay current with industry technologies and standards.

• Strong presentation skills – ability to simplify complex situations and ideas into compelling

and effective written and oral presentations.

• Quick learner – ability to understand and rapidly comprehend new areas, both functional

and technical, and apply detailed and critical thinking to customer solutions.

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL

Job description

Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field

Requirements :

• Good interpersonal with excellent communication skills
• Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
• Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
• Conduct online and classroom training sessions by providing practical use cases and assignments
• Able to cater College Seminar, Workshop, Corporate training.
• Provide Interview Preparation and placement assistance to students
• Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.

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.

Key Responsibilities:

•Design, development, support and maintain automated business intelligence products in Tableau.

•Rapidly design, develop and implement reporting applications that insert KPI metrics and actionable insights into the operational, tactical and strategic activities of key business functions.

•Develop strong communication skills with a proven success communicating with users, other tech teams.

•Identify business requirements, design processes that leverage/adapt the business logic and regularly communicate with business stakeholders to ensure delivery meets business needs.

•Design, code and review business intelligence projects developed in tools Tableau & Power BI.

•Work as a member and lead teams to implement BI solutions for our customers.

•Develop dashboards and data sources that meet and exceed customer requirements.

•Partner with business information architects to understand the business use cases that support and fulfill business and data strategy.

•Partner with Product Owners and cross functional teams in a collaborative and agile environment

•Provide best practices for data visualization and Tableau implementations.

•Work along with solution architect in RFI / RFP response solution design, customer presentations, demonstrations, POCs etc. for growth.

Desired Candidate Profile:

•6-10 years of programming experience and a demonstrated proficiency in Experience with Tableau Certifications in Tableau is highly preferred.

•Ability to architect and scope complex projects.

•Strong understanding of SQL and basic understanding of programming languages; experience with SAQL, SOQL, Python, or R a plus.

•Applied experience in Agile development processes (SCRUM)

•Ability to independently learn new technologies.

•Ability to show initiative and work independently with minimal direction.

•Presentation skills – demonstrated ability to simplify complex situations and ideas and distill them into compelling and effective written and oral presentations.

•Learn quickly – ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

Education:

•Bachelor/master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics

About Company

Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels

About The Role

· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)

· Code in SQL, Python to create reports and build dashboards.

· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency

· Maintain underlying data infrastructure and troubleshoot data issues

· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.

· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.

A bit about yourself

· 0-2 years of experience required

· Programming skills in SQL, Python/R

· Logical thinking and problem solving skills

· Strong communication skills (verbal & written)

· Adherence to quality & ability to plan & prioritize the work

· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers

· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus

· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.

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.

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.

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Key Responsibilities:

1. Collaborate with business stakeholders and data analysts to understand reporting requirements and translate them into effective Power BI solutions.
2. Design and develop interactive and visually compelling dashboards, reports, and visualizations using Microsoft Power BI.
3. Ensure data accuracy and consistency in the reports by working closely with data engineers and data architects.
4. Optimize and streamline existing Power BI reports and dashboards for better performance and user experience.
5. Develop and maintain data models and data connections to various data sources, ensuring seamless data integration.
6. Implement security measures and data access controls to protect sensitive information in Power BI reports.
7. Troubleshoot and resolve issues related to Power BI reports, data refresh, and connectivity problems.
8. Stay updated with the latest Power BI features and capabilities, and evaluate their potential use in improving existing solutions.
9. Conduct training sessions and workshops for end-users to promote self-service BI capabilities and enable them to create their own reports.
10. Collaborate with the wider data and analytics team to identify opportunities for using Power BI to enhance business processes and decision-making.

Requirements:

1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. Proven experience as a Power BI Developer or similar role, with a strong portfolio showcasing previous Power BI projects.
3. Proficient in Microsoft Power BI, DAX (Data Analysis Expressions), and M (Power Query) to manipulate and analyze data effectively.
4. Solid understanding of data visualization best practices and design principles to create engaging and intuitive dashboards.
5. Strong SQL skills and experience with data modeling and database design concepts.
6. Knowledge of data warehousing concepts and ETL (Extract, Transform, Load) processes.
7. Ability to work with various data sources, including relational databases, APIs, and cloud-based platforms.
8. Excellent problem-solving skills and a proactive approach to identifying and addressing issues in Power BI reports.
9. Familiarity with data security and governance practices in the context of Power BI development.
10. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and business stakeholders.
11. Experience with other BI tools (e.g., Tableau, QlikView) is a plus.

The role of a Power BI Developer is critical in enabling data-driven decision-making and empowering business users to gain valuable insights from data. The successful candidate will have a passion for data visualization and analytics, along with the ability to adapt to new technologies and drive continuous improvement in BI solutions. If you are enthusiastic about leveraging the power of data through Power BI, we encourage you to apply and join our dynamic team.

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channel We are currently looking for a Manager Analyst – Analytics to join us. In this role, you will work on

various projects for the in-house team across data management, reporting, and analytics.

Responsibility:

•       Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics

•       Develop data extraction and manipulation code based on business rules

•       Design and construct data store and procedures for their maintenance  Develop and maintain strong relationships with stakeholders  Write high-quality code as per prescribed standards.

•       Participate in internal projects as required

Requirements:

•       2-5 years for strong experience in working with SQL, Python, ETL development.

•       Strong Experience in writing complex SQLs

•       Good Communication skills

•       Good experience of working with any BI tool like Tableau, Power BI.

•       Familiar with various cloud technologies and their offerings within the data specialization and Data Warehousing.

•       Snowflake, AWS are good to have.

Minimum qualifications:

•       B. Tech./MCA or equivalent preferred

Excellent 2 years Hand on experience on Big data, ETL Development, Data Processing.  

Responsibilities and Duties

Develop high-quality software design and architecture.

Achieve the timeline with quality delivery of assigned tasks.

Able to do technical analysis and code review.

Able to troubleshoot internal & production bugs.

Coordinate and support to project co-ordinator/project manager.

Development coding standards are achieved.

Work with internal teams to understand and analyse their needs and to ensure that proposed solution caters to same.

Adopt new technology in quick time.

Implement Unit tests and Functional tests to ascertain highest quality of deliverables.

Identify, prioritize and execute tasks in the software development life cycle.

Understand business needs and know how to implement needs in system to meet business needs.

Able to create the technical documents.

Able to leading team members and planning of team’s task.

Design, develop, modify, implement, and support software components anywhere in the software stack.

Work in close partnership with cross-functional teams and management.

Requirements

Having knowledge of ASP .Net / .net core, Web API, Micro Services, JavaScript, jQuery, Bootstrap, Flutter.

Having good Release management, Cloud Management & Data base management knowledge

Having fluency in Agile methodology

Having knowledge of Power BI / Tablue will be added advantage

Soft skills – Manager level skill

Critical thinker and creative mindset and the ability to approach a problem creatively.

Ability to provide in-depth evaluation and analysis of unique complex technological issues.

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Position: ETL Developer

Location: Mumbai

Exp.Level: 4+ Yrs

Required Skills:

* Strong scripting knowledge such as: Python and Shell

* Strong relational database skills especially with DB2/Sybase

* Create high quality and optimized stored procedures and queries

* Strong with scripting language such as Python and Unix / K-Shell

* Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.

* Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.

* Experienced in Agile development process

* Java Knowledge is a big plus but not essential

* Experience in delivery of metrics / reporting in an enterprise environment (e.g. demonstrated experience in BI tools such as Business Objects, Tableau, report design & delivery) is a plus

* Experience on ETL processes and tools such as Informatica is a plus. Real time message processing experience is a big plus.

* Good team player; Integrity & ownership

Role - Senior Executive Analytics (BI)

Overview of job -

Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics.

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.

• Work with large data sets via hands-on data processing to produce structured data sets for analysis.

• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

What you will need:

• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.

• Proficiency in one or more coding languages – preferred languages: Python, R

• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

• Proficiency in using SQL.

• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

Exp-10 Years

Location Mumbai

Ready to work from Office

Permanent role

Role

Business Analytics/Data Analytics Lead

• Enable Business Transformation with Data Analytics by working with our big clients in major sectors such as Oil & Gas, Manufacturing, Retail, BFSI
• Partner business teams to understand the business area, work with the team to evolve and define the business problems, use-cases, translate the same into an analytical problem, design solution approach, define ROI, help execute to deliver relevant insights that lead to actions and business value.
• Connect business requirements with Technology solutions and be able to determine feasibility, technical gaps, size etc.
• Be able to define a project plan for the identified solutions, help hire and train technical resources, be the glue between Business team and the technical/implementation team
• Be proficient at solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to build solutions and/or creative approaches to solve ‘one of a kind’ problems.
• Embed tested solutions to make them business as usual and help quantify value benefits from analytics.
• Be creative and a committed problem-solver using Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Be a trusted advisor to the client CxOs/leadership team in evangelising the use of Data & Data Science in business decisions. Help accelerate the organisation journey to become data driven.
• Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
• Work with development and testing teams to deliver solutions and support UAT
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.

Qualifications

• 10+ years experience in technology/project management/product management/solution delivery
• 4+ years of relevant work experience in roles partnering in Data Analytics related use-cases and solutions resulting in significant cost, productivity and/or quality gains for the business
• Bachelors degree in a relevant technical field (Computer Science, IT, Statistics, Business Analytics or similar). MBA preferred

·       Experience of specifying and writing business requirements and suggesting appropriate solutions in the field of Data Analytics/AI

• Prior industry experience in defining/creating Data Analytics solutions  in one or more of Oil & Gas, BFSI, Manufacturing, Retail sectors.
• Strong preference for experience in setting up & managing analytics / data products / platforms & leading change management.
• Be able to articulate and have a keen eye on the value that Data Analytics, AI, Machine Learning, Data Lake/Catalogue can bring to organizations
• Ability to communicate complex quantitative insights in a precise, and actionable manner
• Strong communication skills and ability to work with peers & senior stakeholders demonstrating strong vertical and lateral influence.
• Working knowledge of Analytics tools such as PowerBI, Tableau, AI modelling such as Regression, Classification, and Time Series Problems.
• Experience building insights from analytics & telling data stories
• Passion for empirical research and for answering hard questions with data

Qualifications

● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical

experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,

Statistics, Operations Research, Management Science)

● 3+ years experience with data analysis and metrics development

● 3+ years experience analyzing and interpreting data, drawing conclusions, defining

recommended actions, and reporting results across stakeholders

● 2+ years experience writing SQL queries

● 2+ years experience scripting in Python

● Demonstrated curiosity in and excitement for Web3/blockchain technologies

● Interested in learning new technologies to solve customer needs with lots of creative freedom

● Strong communication skills and business acumen

● Self-starter, motivated by an interest for developing the best possible solutions to problems

● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus

Power BI Engineer 

Company Overview: 

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. 

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 

What we're looking for :

• You should have strong technical and analytical skill with more in SQL Server, reporting tools like Tableau, Power BI, SSRS and .Net. 
• You have experience in OLAP, UI/UX and Dashboard building.
• You should have experience for proper understanding of the project deliverables. 
• You should possess excellent communication skills. 

• You will be responsible for the respective tasks assigned in the project. 
• You will be responsible for the deliverable with proper quality, in planned time and cost adhering to the industry standards that will be defined for the project. 
• You will be involved in client interaction.