Manager - Analytics
Dream Sports
Mumbai
Salary:
🥅 sports
DS/ML/AI
Your Role
- Defining, decomposing and solving complex business problems using analytical and statistical techniques (heuristics, regression, classification, cohort analysis, etc.)
- Owning and co-creating business health metrics (activation, funded accounts, trading frequency, retention, revenue, risk signals) and influence the product roadmap to improve them
- Applying optimization and constraint-based approaches to improving pricing effectiveness, trading conversion, margin efficiency and capital allocation decisions
- Partnering with Product and Business teams to deeply understand user behavior across the brokerage lifecycle (onboarding → funding → trading → retention)
- Leading analytical planning, ensuring adherence to processes and enabling smooth delivery using tools like Jira, Confluence, Notion etc.
- Driving clear and timely communication on roadmap, insights, risks, dependencies and trade-offs to senior stakeholders
- Establishing strong data best practices around documentation, metric definitions, experimentation and knowledge sharing
Qualifiers
- 3+ years of relevant experience in Analytics / Data Science roles, preferably in discount broking
- Strong proficiency in Python or R, SQL and analytical notebooks (e.g., Jupyter) with hands-on experience in data visualization and BI tools such as Looker, Tableau, Power BI, AWS QuickSight, or similar
- Solid understanding of product experimentation frameworks (A/B, A/A, multivariate testing, DOE) and statistical decision-making
- Experience applying machine learning models for business use cases
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