Data Analyst & Operations Product Manager

Product Manager (Data & Operations)

Experience:

2+ years

Must-Have:

Candidate must have prior experience in a product-based company

Role Summary

We are looking for a highly analytical Product Manager to drive business growth through data analysis, operational efficiency, and structured experimentation .

This role will focus on identifying growth opportunities, reducing operational inefficiencies, improving unit economics, and building strong reporting systems across the ecommerce and AI-led product ecosystem.

You will work closely with Engineering, Marketing, Catalog, Operations, Finance, and Data teams to ensure decisions are backed by data and execution is operationally strong.

Key ResponsibilitiesData Analysis & Business Insights

• Own end-to-end funnel analysis (Impressions → CTR → ATC → Checkout → Purchase → Repeat)
• Identify drop-offs, leakages, and revenue gaps using SQL, GA, Clevertap
• Perform cohort analysis (new vs repeat, prepaid vs COD, personalized vs non-personalized users)
• Track and improve core metrics:
• Conversion Rate
• GMV & Revenue
• AOV
• Repeat Rate
• Cancellation & RTO %
• Margin contribution
• Build and maintain weekly/monthly dashboards for leadership visibility
• Translate raw data into clear, actionable insights

Operational Excellence

• Identify operational bottlenecks impacting conversion and fulfillment
• Analyze cancellation drivers & reduce COD RTO risk
• Improve payment success rates and checkout efficiency
• Work with logistics teams to optimize delivery timelines
• Collaborate with catalog & brand teams to improve SKU performance
• Monitor inventory health, sell-through rate, and stock rotation
• Drive pricing and margin optimization initiatives

Experimentation & Performance Improvement

• Run structured A/B tests to improve funnel performance
• Define clear hypotheses, success metrics, and impact measurement
• Analyze experiment results and recommend rollouts
• Build scalable processes for experimentation cadence

Cross-Functional Execution

• Convert insights into PRDs and operational roadmaps
• Partner with engineering for sprint-based delivery
• Align marketing, catalog, and operations on metric ownership
• Ensure every feature launch has measurable business KPIs

Must-Have Skills

• Strong analytical mindset and comfort with large datasets
• Advanced Excel / Google Sheets
• Strong SQL proficiency (mandatory)
• Experience with GA, Clevertap, Mixpanel or similar tools
• Experience working on ecommerce funnels
• Understanding of unit economics (GMV, margins, CAC, LTV)
• Strong problem-solving and structured thinking

Bonus Skills

• Experience in ecommerce marketplace or D2C
• Experience working with logistics, payments, or inventory systems
• Exposure to AI-led recommendation systems
• Experience building business dashboards

What Success Looks Like (First 6 Months)

• Clear dashboard visibility across all core business metrics
• 10–15% improvement in funnel conversion
• Reduction in cancellation & RTO rates
• Improved operational turnaround time
• Data-backed roadmap prioritization