Senior Product Analyst

Purplle.com; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Purplle.com is seeking a data analytics professional who combines strong analytics with a product mindset. You’ll dive into data, track KPIs, run experiments, and generate insights to power data-driven products.

You’ll own data-heavy tracks, write specs, define success metrics, and ship iteratively with engineering, while leveraging AI tools to automate insight generation and summarisation.

Collaborate across design, product, and marketing to turn analytics into concrete business impact.

Qualifications

• 3+ years in data analytics; e-commerce or product-led environments preferred.
• Hands-on experience with user journey funnels, cohort analysis, and conversion metrics at scale.
• Strong SQL & Python proficiency; comfortable with large, complex datasets.
• Proven ability to turn analytical findings into acted-upon product or business recommendations.
• Strong written and verbal communication skills; Undergraduate degree from a Tier 1 or Tier 2 institution.

Responsibilities

• Track KPIs, perform root cause analyses, and recommend corrective actions.
• Analyze customer funnels, cohorts, and conversion metrics to surface high-impact opportunities.
• Design and run A/B experiments; measure results with statistical rigour.
• Build automated reporting solutions and maintain business dashboards.
• Own the product roadmap for data-heavy tracks — write specs, define success metrics, and ship iteratively with engineering.
• Leverage LLMs and AI to automate insight generation & summarisation.
• Partner cross-functionally with engineering, design, and business teams to prioritise and deliver.

Skills

SQL

Python

Data analysis

Communication

Product mindset

Education

Undergraduate degree (Tier 1/2 institution)

Job description

We’re looking for someone who combines strong analytics skills with a product mindset. You’ll start by going deep into data — tracking KPIs, running experiments, and generating insights — and progressively take ownership of data-powered products like Analytics Agents, automated anomaly detection, and AI-augmented decision tools.

What You’ll Do

• Track key business KPIs, perform root cause analyses, and recommend corrective actions.
• Analyze customer funnels, cohorts, and conversion metrics to surface high-impact opportunities.
• Design and run A/B experiments; measure results with statistical rigour.
• Build automated reporting solutions and maintain business dashboards.
• Own the product roadmap for data-heavy tracks — write specs, define success metrics, and ship iteratively with engineering.
• Leverage LLMs and AI to automate insight generation & summarisation
• Partner cross-functionally with engineering, design, and business teams to prioritise and deliver.

What We Expect

• Outcome-oriented: you own problems end-to-end, not just tasks.
• You go beyond “what” to explain “why” and “so what.”
• Builder’s instinct: you see manual workflows and think “this should be a product.”
• Clear communication across engineering, product, and leadership teams.
• You actively use AI tools to work faster and think deeper.

Must-Have

• 3+ years in data analytics is mandatory (e-commerce, consumer internet, or product-led environments preferred).
• Hands‑on experience with user journey funnels, cohort analysis, and conversion metrics at scale.
• Strong SQL & Python proficiency; comfortable with large, complex datasets.
• Proven ability to turn analytical findings into acted‑upon product or business recommendations
• Strong written and verbal communication skills.
• Undergraduate degree from a Tier 1 or Tier 2 institution.