- 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 in the product and turn them into prioritized recommendations.
- Define event tracking requirements with engineering and make sure product data is accurate and complete.
- Create and maintain self-serve dashboards that product teams use to monitor feature and product health.
- Measure the impact of launches that cannot be A/B tested, using quasi-experimental methods.
- Participate in technical interviews to evaluate candidates.
- Mentor junior analysts and raise the quality of product analysis across the team.
- A 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.
- Strong proficiency in SQL and Python or R, and 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 interpreting results.
- Experience defining product metrics and KPIs, and building funnel, retention, cohort, and engagement analyses.
- Experience working with event and clickstream data from mobile or web apps.
- Ability to turn unclear product questions into structured analyses and clear recommendations.
- Effective communication skills, with the ability to explain insights and trade-offs to product managers, designers, and non-technical stakeholders.
- Strong attention to detail, with the ability to identify and correct errors in data and tracking.
- Ability to work independently, prioritize, and meet deadlines in a fast-paced environment, while collaborating effectively in a diverse, cross-functional team.
- Causal inference skills beyond A/B tests, such as difference-in-differences or synthetic control, for cases where experiments are not possible.
- Experience with experimentation platforms such as Statsig, Optimizely, or Eppo.
- Experience with product analytics tools such as Amplitude or Mixpanel, or with writing event tracking plans.
- Proven experience in a multi-sided marketplace, super app, or food or parcel delivery service.
- Experience modeling unit economics at the transaction level and linking product changes to their impact on those economics.
- Familiarity with data modeling and pipelines, such as dbt and BigQuery.
Skills Required
- Bachelor's or master's degree in statistics, mathematics, economics, computer science, data science, or another quantitative field
- At least 5 years of experience in product analytics, preferably in a senior or lead role
- 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, statistical power, guardrail metrics, and result interpretation
- Experience defining product metrics and KPIs and building funnel, retention, cohort, and engagement analyses
- Experience working with event and clickstream data from mobile or web applications
- Ability to translate ambiguous product questions into structured analyses and clear recommendations
- Effective communication with product managers, designers, and nontechnical stakeholders
- Strong attention to detail and ability to identify and correct data and tracking errors
- Ability to work independently, prioritize tasks, meet deadlines, and collaborate in a diverse cross-functional team
- Causal inference experience beyond A/B testing, such as difference-in-differences or synthetic control
- Experience with experimentation platforms such as Statsig, Optimizely, or Eppo
- Experience with product analytics tools such as Amplitude or Mixpanel, or event tracking plans
- Experience in a multisided marketplace, super app, or food or parcel delivery service
- Experience modeling transaction-level unit economics and linking product changes to economic impact
- Familiarity with data modeling and pipelines such as dbt and BigQuery
What We Do
Welcome to Snoonu, Qatar's leading tech innovator. Founded by Hamad Al-Hajri in 2019, Snoonu is your go-to app for online shopping, food and grocery delivery, pharmacy needs, and more. At Snoonu, we're not just revolutionizing convenience but pioneering it. Our super-app offers 11 essential services in one place, from quick meals to urgent pharmacy runs, grocery shopping, and even a personal picker (Snoosend). We're here to make your life easier and inspire you with our constant drive for innovation. But we're more than just a company; we're a vibrant community driven by a shared vision to harness technology for societal betterment. Join a team that doesn't just participate in the future of Qatar's economy but shapes it. Here, being extraordinary is our everyday standard. By using our services, you're not just making your life easier; you're contributing to the growth and convenience of our community. With our app, convenience is just a tap away. Experience the ease of having anything delivered to your doorstep. Embark on this exhilarating journey with us and be part of Qatar's next big success story. Visit us: ★ Website: https://snoonu.com ★ Instagram: https://www.instagram.com/snoonu/ ★ Twitter: https://twitter.com/snoonu_qa ★TikTok: https://www.tiktok.com/@snoonu ★ Facebook: https://www.facebook.com/snoonu.qa/






