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[Only 24h Left] Product Analyst

[Only 24h Left] Product Analyst

FirstClubIndia
19 hours ago
Job description

First Club is a Bengaluru-based platform reimagining how India shops for everyday essentials. We focus on exceptional quality across every single product—whether it’s fruits, flours, oils, dairy, or home staples. Every item on our platform is handpicked, clean-label, and tested for freshness and transparency.

Role Overview

As the founding Product Analyst, you will :

  • Set up the product analytics stack, pipelines, and event structures.
  • Partner with Product, Business, and CX to translate data into clear, actionable insights.
  • Define metrics, dashboards, and processes that make the company truly data-driven.
  • Lead deep dives into user journeys, funnels, and growth experiments to identify opportunities.

Key Responsibilities

  • Build and maintain clean, scalable data pipelines and dashboards.
  • Define and own core product / business metrics (North Star & supporting KPIs).
  • Run funnel, cohort, and retention analyses to understand user behavior.
  • Partner with product managers on A / B testing and feature impact analysis.
  • Create simple automations or scripts to reduce manual reporting and enable scale.
  • What We’re Looking For

  • 2–4 years of experience as a Product Analyst / Data Analyst / Growth Analyst at Tier-1 tech / product companies.
  • Strong expertise in SQL, data visualization (Looker, Superset, Tableau, etc.), and event-driven analytics (Mixpanel, Amplitude, Firebase, GA4).
  • Solid grasp of experimentation, funnel analysis, and behavioral cohorting.
  • Clear communication skills and ability to influence product / business decisions.
  • Good to Have

  • Proficiency in Python for data analysis and automation.
  • Experience building automated reporting workflows.
  • Curiosity around AI agents / LLMs for internal tools and decision support.
  • Exposure to quick commerce, consumer internet, or subscription products.
  • Why Join Us

  • Be the first analytics hire—set the vision, tools, and culture for data-driven decision making.
  • Work on high-velocity product problems with direct impact on customer experience.
  • Opportunity to grow into a leadership role in analytics as we scale.
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