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Thursday, October 8, 2026

Product Analyst | PRISM Consumer Product Team

πŸ’Ό Product Analyst | PRISM Consumer Product Team πŸš€

PRISM
πŸ”₯ Hiring Now
πŸ“ Location: Not Specified
πŸ’Ό Experience: 2+ Years
🎯 Role: Product Analyst
πŸŽ“ Qualification: Not Specified

πŸ“Œ Job Description

PRISM is looking for a Product Analyst for its Consumer Product Team. The role is focused on understanding user behaviour, identifying insights from product data, and turning those insights into better product decisions.

πŸ”‘ Key Responsibilities

  • Dig into user funnels to uncover what moves key metrics.
  • Build dashboards that the team uses every day.
  • Turn analytical insights into product decisions in collaboration with Product Managers.

πŸŽ“ Eligibility / Qualifications

  • 2+ years of experience in data analytics or product analytics.
  • Strong SQL skills.
  • Hands-on experience with Python.
  • AI-first mindset with an interest in using AI to accelerate analysis and building AI-powered data tools.
  • Experience with consumer-facing products is a plus.

πŸ› ️ Key Skills

  • Product Analytics
  • Data Analytics
  • SQL
  • Python
  • User Funnel Analysis
  • Dashboard Development
  • Product Metrics
  • AI-Powered Analytics
  • Consumer Product Analytics

⭐ Role Highlights

  • Work with a Consumer Product Team.
  • Analyse user behaviour and product funnels.
  • Build dashboards used by the team on a daily basis.
  • Work closely with Product Managers to influence product decisions.
  • Opportunity to use AI for analysis and develop AI-powered data tools.

πŸš€ Why Apply?

This opportunity is suitable for professionals with experience in data or product analytics who enjoy understanding user behaviour, working with product metrics, and translating analytical insights into product decisions.

🧩 Core Skills

Product Analytics Data Analytics SQL Python User Behaviour Analysis Funnel Analysis Dashboards Product Metrics AI

🎯 Interview Preparation

  • Be prepared to discuss your experience with product or data analytics.
  • Revise SQL concepts and practical data analysis use cases.
  • Prepare examples of using Python for analysis.
  • Understand user funnel analysis and product metrics.
  • Be ready to explain how analytical insights can influence product decisions.
  • Prepare examples of how you have used AI to improve analytical workflows.

πŸ“© How to Apply

Interested and eligible candidates can apply online through the application form below.

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