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Product Analyst - Experimentation
A1Apps · Gurugram, India; Remote, United States
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Role Overview We are looking for a Product Analyst with 1–3 years of experience to help us identify growth opportunities through structured experimentation and sharp product analysis. This role is ideal for someone who is comfortable working with data, understanding user behaviour, and turning product questions into clear experiments and actionable insights. The person in this role will work closely with product, design, engineering, and growth teams to improve decision quality and drive better product outcomes. Main Responsibilities
- Set up, launch, monitor, and analyze experiments across product surfaces.
- Build clear experiment hypotheses, define success metrics, and track outcomes.
- Interpret experiment results and share clear, data-backed recommendations.
- Analyze user journeys, funnels, and behavioural patterns to identify drop-offs, friction points, and growth opportunities.
- Use product and behavioural data to scope high-potential opportunities for research and experimentation.
- Translate data findings into practical next steps for product teams. Additional Responsibilities
- Collaborate cross-functionally with product, engineering, design, and growth teams to run experiments effectively.
- Support execution of paywall changes and help evaluate their impact.
- Ensure experiment learnings, user behaviour insights, and recommendations are documented clearly. Skills Required
- Strong Excel / spreadsheet skills
- Good working knowledge of SQL / BigQuery
- Solid understanding of product analysis and funnel thinking
- Good grasp of statistics and experiment interpretation
- Understanding of A/B testing concepts and experimentation methodology Tools You’ll Work With
- Firebase
- Adapty
- AppMetrica
- GA4
- Looker Preferred Experience
- 1–3 years of experience in product analytics, growth analytics, experimentation, or a related analytical role
- Experience working on product funnels, user journeys, conversion, retention, or monetization problems
- Exposure to digital consumer subscription businesses or B2C SaaS is strongly preferred
- Familiarity with paywalls, pricing experiments, or subscription metrics will be an added advantage Traits We’re Looking For
- Mathematically strong
- Logically sound
- High-agency individual
- Strong getting-things-done mindset
- Curious and structured thinker
- Comfortable working in a fast-paced, execution-heavy environment What Success Looks Like
- Experiments are launched with clarity and monitored rigorously
- Recommendations are insight-led, practical, and useful for product decisions
- User journey analysis consistently surfaces meaningful opportunities
- Cross-functional teams are able to execute experiments and paywall updates more effectively because of your inputs
- Product decisions become faster and more data-informed