01Overview
Key Responsibilities
- Define business problems, form hypotheses, and deliver end- to-end analytical solutions
- Drive decision science across growth, portfolio, and customer analytics
- Analyse large- scale datasets using SQL and Databricks, ensuring data integrity
- Build and interpret statistical and predictive models (segmentation, propensity, risk, churn)
- Perform exploratory, diagnostic, and causal analyses to identify key drivers
- Convert analysis into clear insights and recommendations for senior stakeholders
- Partner with business, product, and tech teams to embed analytics into decisions
Core Requirements (Must Have)
- 3-5 years in Decision Science / Analytics / BI (BFSI preferred, not mandatory)
- Strong grounding in statistics, quantitative analysis, and structured problem solving
- Advanced SQL; hands- on experience with Databricks / big- data platforms
- Experience working with large, multi- source datasets and metric definitions
- Proven ability to solve ambiguous problems with structured analytical approaches
- Strong understanding of KPIs, metrics design, and performance measurement
- Comfortable operating in fast- paced, stakeholder- driven environments, Ability to influence decisions through data- backed storytelling
- Strong hands on in coding- SQL/Python
- Hands- on ML modelling (classification, regression, clustering, uplift) .
