The Senior Data Analyst is responsible for executing analytic and statistical work supporting clients, products, and revenue initiatives. The role involves applying statistical methods, developing analytic code, delivering high-quality outputs, and managing assigned projects independently. Responsibilities include delivering statistical deliverables on time, implementing analytic projects, building and validating models, performing research, consulting with sales and clients, collaborating cross-functionally, mentoring peers, coding in Python and PySpark, and ensuring compliance with data governance and AI guidelines. Requirements include 5+ years experience, a bachelor's degree in a quantitative field (advanced degree preferred), proficiency in Python, PySpark, SQL, Excel, and PowerPoint, advanced statistical knowledge, experience with large transactional databases, client interaction, and use of AI tools responsibly. The role requires strong analytical, communication, and project management skills, with occasional travel. Location: Bengaluru, Karnataka, India.
What you'll do
Deliver accurate, on-time statistical deliverables for assigned projects
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Build, validate, and present statistically sound models using standard tools and methodologies
Perform original research and maintain clear analytic documentation
Develop client-ready materials communicating findings and recommendations
Consult with Sales personnel and external clients, explaining statistical concepts
Work cross-functionally with internal teams to troubleshoot data, modeling, and process issues
Support peer development through mentoring, knowledge sharing, and collaboration
Write and maintain Python and PySpark codebases
Ensure compliance with privacy, data governance, and AI guidelines
Requirements
5+ years of experience
Bachelor's degree in statistical, quantitative, or related field
Advanced degree preferred
Minimum 3 years experience in a statistical field
Experience performing data analysis or modeling with large transactional databases
Experience conducting original research
Experience working directly with external clients in a business environment
Advanced knowledge of statistical methods and principles including regression, clustering, factor analysis, ANOVA, sampling, inference, transformations, validation, and model evaluation techniques
Proficiency in analytic programming and tools including Python, PySpark, SQL
Proficiency in Excel and PowerPoint
Experience using LLM- and AI-enabled tools responsibly
Ability to manage multiple projects concurrently and work independently
Excellent analytical, troubleshooting, communication, and consulting skills
Ability to communicate complex analytic concepts to technical and non-technical audiences
Employee well-being focusCollaborative work environmentOpportunities for growth, learning, development, and career advancementInnovation-driven cultureWork-life balance and flexibility
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