Data Analyst - Product

Overview

Data Analyst (Product)

Key Responsibilities

• Own analytics for the Product Team, from defining metrics to building dashboards to surfacing insights.
• Work with PMs & Designers to measure feature adoption, funnel performance, and user behavior.
• Run experiments (A/B tests, pilots, cohorts) and translate results into product recommendations.
• Dive deep into activation, retention, engagement, and monetization metrics to identify growth levers.
• Spot anomalies, hidden trends, and interesting numbers that can unlock new opportunities.
• Build self-serve data tools and dashboards so the team can answer questions faster.
• Tell stories with data, creating narratives and visualizations that influence product and growth decisions.
• Collaborate with engineers to ensure clean, reliable, and scalable data pipelines.

🤩 You’ll be a great fit if you have

• 1–3 years of experience as a Data Analyst / Growth Analyst / Product Analyst.
• Strong proficiency in SQL (window functions, joins, subqueries, etc.) and NoSQL  databases like MongoDB, BigQuery, or Firebase (aggregate, lookup, etc).
• Have extensively worked on at least one analytics platform (Mixpanel, Amplitude, GA, etc.).
• Strong understanding of product funnels, growth loops, and retention metrics.
• Curiosity to dig into data beyond the obvious and the creativity to ask new kinds of questions.