Decision Science

User Analytics - Understanding user behavior in the app, feature adoption, understanding retention & churn drivers etc., transaction behavior across features, offer & scratch card redemption, impact of email and notifications Marketing measurement - Evaluating effectiveness of marketing campaigns through channels like ATL & performance media Product analytics Responsibilities: Client management: Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement Communicate with the clients and understand their business needs Technical: Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns Harmonize data as required and setup models according to the business logic defined Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently. Qualifications & Experience: Hands on experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python). Hands on experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting Advanced knowledge of SQL is a must Good problem solving & insight generation skills Excellent communication skills with technical and non-technical stakeholders Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent