Senior Product Analyst

ESP Engineered; Gurugram District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

ESP Engineered in Gurugram is seeking a Senior Product Analyst to shape product decisions through data and experimentation. This role includes defining success metrics, supporting roadmap prioritization, and translating complex analyses into actionable insights. Ideal candidates have 4-7 years of analytics experience, strong SQL skills, and familiarity with product analytics tools like Mixpanel and Amplitude. A mindset focused on outcomes and a collaborative spirit are essential. This position requires working from the office and is vital for improving product strategies.

Qualifications

• 4-7+ years of experience in product analytics, business analytics, or data analytics.
• Excellent SQL skills for large dataset management.
• Solid understanding of statistics and experimentation.

Responsibilities

• Define and own product success metrics across various areas.
• Support roadmap prioritization with data-backed insights.
• Translate complex analyses into clear, actionable narratives.

Skills

Product analytics

SQL

Data analysis

Statistical understanding

Product tools (Mixpanel, Amplitude, GA)

Tools

Mixpanel

Amplitude

Google Analytics

Job description

Agrim is India’s largest agri-input e-commerce platform, empowering lakhs of retailers across the country with better access, pricing, and service. We’re backed by marquee investors and are growing fast. We are transforming how agri-retailers buy and grow their business. Our culture is rooted in five values: Delivery Excellence, Ownership, Frugality, Simplicity, and Transparency. You can read more about us here – Click here

Role Overview

We’re looking for a Senior Product Analyst who will act as the analytical backbone of our product stack. This role goes far beyond reporting - your mandate is to shape product decisions using data, experimentation, and structured thinking. You will partner closely with Product Managers, Engineering, Design, and Growth teams to answer the hardest questions: Where are funnels breaking? What should we build next? Why is a metric moving? Did this feature actually work?

What’ll you do?

Own Product Metrics & Measurement

• Define and own product success metrics across activation, engagement, retention, and monetization.
• Ensure metric definitions are consistent across tools and teams.
• Act as the final authority on "what the number actually means.".
• Build and analyse key user funnels and cohorts to identify drop-offs and growth levers.
• Perform behavioural analysis to understand why users act the way they do.
• Identify high-impact opportunities to improve product outcomes.
• Design and evaluate A/B tests and experiments with clear hypotheses and success criteria.
• Measure feature impact post-launch and communicate results with clarity and confidence.
• Call out false positives, weak signals, and misleading conclusions.

Product Decision Support

• Support roadmap prioritization with data-backed insights.
• Quantify trade-offs and expected impact for product bets.
• Participate in post-mortems and help teams learn quickly from failures.

Data Quality & Instrumentation

• Work with Product and Engineering to ensure correct event tracking and data integrity.
• Audit analytics instrumentation regularly and fix gaps proactively.
• Improve trust and reliability of dashboards and reports.

Insight Communication

• Translate complex analyses into clear, actionable narratives.
• Present insights to senior stakeholders in a concise, decision-oriented manner.
• Influence product strategy through evidence, not opinions.

What We’re Looking For

Requirements

• 4-7+ years of experience in product analytics, business analytics, or data analytics in a tech/product company.
• Strong hands‑on experience with product analytics tools (Mixpanel, Amplitude, GA, or similar).
• Excellent SQL skills; ability to work directly with large datasets.
• Solid understanding of statistics, experimentation, and causal thinking.
• Experience working closely with PMs and engineering teams.

Mindset

• Hypothesis-driven thinker who starts with questions, not charts.
• Comfortable challenging assumptions and saying “this doesn’t prove what you think it proves.”
• Strong ownership mindset—you care about outcomes, not just analysis.
• Ability to balance speed with analytical rigor in a fast-moving environment.

Nice to Have

• Experience in marketplaces, e-commerce, or multi-sided platforms.
• Familiarity with data warehouses (BigQuery, Redshift, Snowflake).
• Exposure to experimentation platforms or custom A/B frameworks.

Why Join Us

• Work on products used at scale with real business impact.
• High ownership, high trust environment with strong product-first culture.
• Opportunity to shape how data influences decisions across the business.

We are in Gurgaon. This is Work from Office role.