Senior Product Analyst

About the role

Snoonu, a homegrown Super App in Qatar focused on delivery, shopping and more, is hiring a Senior Product Analyst. You will work with product managers, designers, engineers, data scientists and business teams in a cross-functional setting, helping product teams decide what to build and measure whether it worked. You will define product metrics, analyze how customers use the Snoonu app, design and evaluate experiments and turn findings into clear product recommendations.

Key responsibilities

• Partner with product managers and designers from discovery to launch to define success metrics for features and product areas.
• Design, analyze and report on A/B tests, and set standards for how experiments are run and interpreted.
• Build and maintain funnel, conversion, retention and engagement analyses across the customer journey.
• Identify friction points and growth opportunities and turn them into prioritized recommendations.
• Define event tracking requirements with engineering so product data is accurate and complete.
• Create and maintain self-serve dashboards used by product teams to monitor feature and product health.
• Measure the impact of launches that cannot be A/B tested using quasi-experimental methods.
• Take part in technical interviews to evaluate candidates and mentor junior analysts.

Required profile

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, economics, computer science or data science.
• At least 5 years of experience in product analytics, preferably in a senior or lead role at a consumer app or marketplace.
• Experience defining product metrics and KPIs, and building funnel, retention, cohort and engagement analyses.
• Experience with event and clickstream data from mobile or web apps.
• Ability to turn unclear product questions into structured analyses and clear recommendations, and to communicate insights and trade-offs to non-technical stakeholders.

Required skills

• Strong proficiency in SQL and Python or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Hands-on experience designing, running and analyzing A/B tests, including sample size, power, guardrail metrics and result interpretation.
• Bonus: causal inference beyond A/B tests, experimentation platforms such as Statsig, Optimizely or Eppo, product analytics tools such as Amplitude or Mixpanel, unit economics modeling, dbt and BigQuery.

What we offer

• Learning budgets, access to courses and tools for your growth.
• Flexible time off and generous leave and wellness policies.
• Agile working style and autonomy over your tasks.
• Great Place to Work certification and ISO 9001:2015 and ISO 45001:2018 certifications.