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