Must skills:
2-3years experience on SSIS Pacakages.
2-3years experience on SQL Server.
1-2 years of strong experience on Tableau.
About Symansys Technologies India Pvt Ltd
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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.
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.
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
Database Architect |
5 - 6 Years |
Good Knowledge in Relation and Non-Relational Database |
To write Complex Queries and Identify problematic queries and provide a Solution |
Good Hands on database tools |
Experience in Both SQL and NON SQL Database like SQL Server, PostgreSQL, Mango DB, Maria DB. Etc. |
Worked on Data Model Preparation & Structuring Database etc. |
Senior Data Scientist-Job Description
The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.
Key Responsibilities:
- Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
- Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
- Generate clearly understood and intuitive data science / advanced analytics outputs.
- Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
- Participate in best practice sharing and communication platform for advancement of the data science discipline.
- Coach and collaborate with other data scientists and data analysts.
- Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
- Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.
Qualification:
- Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
- 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
- Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
- Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
- Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
- Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
- Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
- Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
- Strong written and verbal communications skills, as well as presentation skills.
Technologies & Languages
- Azure
- Databricks
- SQL Sever
- ADF
- Snowflake
- Data Cleaning
- ETL
- Azure Devops
- Intermediate Python/Pyspark
- Intermediate SQL
- Beginners' knowledge/willingness to learn Spotfire
- Data Ingestion
- Familiarity with CI/CD or Agile
Must have:
- Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
- Python/Spark (PySpark)
- SQL
Good to have:
- Docker
- Kubernetes
- Scala
He/she should have a good understanding in:
- How to build pipelines – ETL and Injection
- Data Warehousing
- Monitoring
Responsibilities:
Must be able to write quality code and build secure, highly available systems.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Monitoring performance and advising any necessary infrastructure changes.
Defining data retention policies.
Implementing the ETL process and optimal data pipeline architecture
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Create design documents that describe the functionality, capacity, architecture, and process.
Develop, test, and implement data solutions based on finalized design documents.
Work with data and analytics experts to strive for greater functionality in our data systems.
Proactively identify potential production issues and recommend and implement solutions
As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.
Job Requirements :
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.
Top MNC looking for candidates on Business Analytics(4-8 Years Experience).
Requirement :
- Experience in metric development & Business analytics
- High Data Skill Proficiency/Statistical Skills
- Tools: R, SQL, Python, Advanced Excel
- Good verbal/communication Skills
- Supply Chain domain knowledge
*Job Summary*
Duration: 6months contract based at Hyderabad
Availability: 1 week/Immediate
Qualification: Graduate/PG from Reputed University
*Key Skills*
R, SQL, Advanced Excel, Python
*Required Experience and Qualifications*
5 to 8 years of Business Analytics experience.