Senior Product Analytics Lead

Snoonu; Qatar; Remote; QAR 300,000 - 420,000; Full time

Benefits offered by this job

Global vibes

Flexible time off

Great Place to Work certification

Job summary

Snoonu, Qatar’s homegrown Super App, is seeking a Senior Product Analyst to partner with product and engineering teams to define success metrics, analyze experiments, and deliver actionable product insights. You will design analyses across user journeys, build dashboards, and mentor junior analysts in a fast‑paced, cross‑functional environment.

The role emphasizes turning data into strategic recommendations, leveraging advanced analytics, and influencing product decisions that impact the unit

Qualifications

• 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‑side 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.

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 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.

Skills

SQL

Python

R

Tableau

Power BI

A/B testing

Product metrics

Event data

Communication

Causal inference

Statsig/Optimizely/Eppo

Amplitude/Mixpanel

dbt

BigQuery

Cross-functional teamwork

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

dbt

BigQuery

Job description

Snoonu, Qatar’s homegrown Super App, is seeking a Senior Product Analyst to partner with product and engineering teams to define success metrics, analyze experiments, and deliver actionable product insights. You will design analyses across user journeys, build dashboards, and mentor junior analysts in a fast‑paced, cross‑functional environment.

The role emphasizes turning data into strategic recommendations, leveraging advanced analytics, and influencing product decisions that impact the unit