Product & Growth Data Analyst- With fast growing Software company,Pune,Pimple Saudagar(Hybrid- 3 days in a week from office)

Job Title: Product & Growth Data Analyst

Job Location: Pune,Pimple Saudagar,

Experience- 2 to 5 Years

Role Overview :

Key Responsibilities:-

Business Intelligence & Reporting

● Design executive dashboards: revenue, ride metrics, cohort analysis, churn/retention, subscription funnels,ROAS, CAC/LTV.

● Deliver weekly/monthly insight reports with clear recommendations.

● Establish automated reporting systems.

Product Analytics

● Define and instrument KPIs with Product/Engineering teams.

● Analyze feature performance (T+7, T+30, T+60 post-launch).

● Monitor guardrail metrics, anomaly detection, funnel analysis.

● Maintain self-service analytics dashboards.

Growth & Marketing Analytics:-

● Own marketing channel ROAS measurement with attribution methodology.

● Perform segmentation analysis across geographies, partners, user cohorts.

● Implement advanced attribution models (MMM/MTA).

ML Data Enablement

● Publish documented training datasets and labels regularly.

● Implement data quality checks: leakage prevention, train/serve parity.

● Establish data contracts for ML applications.

Data Quality & Automation

● Build monitoring systems for data freshness, completeness, reconciliation.

● Implement alerting with defined SLAs Daily Operations.

● Morning business health checks and anomaly detection.

● Rapid response to stakeholder data inquiries.

Required Qualifications:

Technical Skills

● SQL (MySQL): Advanced joins, window functions, CTEs, cohort analysis, optimization

● Python: Strong pandas, NumPy, Jupyter experience

● BI Tools: Retool, Metabase, Looker, or Power BI

● Statistics: Attribution modeling, experiment design, lift analysis, holdout testing

● Data Exploration: EDA, outlier detection, distribution analysis, sensitivity testing.

Professional Skills:

● Exceptional communication: distill complex analyses into clear narratives.

● Strong problem-solving with attention to detail and accuracy.

● Independent worker with cross-team collaboration ability.

● Experience with AI-assisted coding tools.

● Preferred - MongoDB • Git • Consumer apps/marketplace/subscription business experience.

Culture - Direct reporting • Collaborative hybrid environment • Data-driven decision-making.

Benefits- Competitive salary • ESOPs • Professional development budget • Clear career progression.

Selection Process- 3-4 Rounds including both Technical and HR.