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Senior Product Analyst

بوسطة· Data & Performance – Data
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Hybrid (Cairo, Egypt)Full-timePosted 5mo ago

About the role

Product Analytics Lead; embedded analytics partner to the Product team, defining success metrics, instrumenting and measuring impact of features, and owning Tableau dashboards for product leadership.

Responsibilities

  • Serve as the embedded analytics partner for the Product team across every launch, A/B test, feature tweak, and product modification.
  • Define success metrics, target thresholds, and guardrail metrics with PMs before launch — not after.
  • Run pre-launch sizing, post-launch impact reads, and ongoing performance reviews on every shipped change.
  • Proactively surface product opportunities by digging into adoption gaps, friction points, and behavioral patterns.
  • Design and analyze A/B tests, switchbacks, and quasi-experiments; manage experimentation rigor (sample size, MDE, segment cuts, novelty and network effects).
  • Apply best-practice methods (matched pairs, difference-in-differences, regression adjustment) when randomization is not feasible.
  • Communicate results with clear effect sizes, confidence intervals, and recommended decisions.
  • Build and maintain Tableau dashboards for real-time visibility on active products, features, and experiments.
  • Design dashboards around PM questions (funnels, cohorts, retention curves, segment splits) and apply visualization best practices.
  • Write production-grade SQL against the data warehouse; collaborate with data engineering to ensure clean instrumentation. Maintain definitions, metric lineage, and documentation for all product KPIs.
  • Partner with Product Managers, Designers, and Engineering across the full product lifecycle.
  • Translate ambiguous product questions into analytical workstreams and findings into product actions.
  • Brief leadership on product performance at strategic and tactical levels.
  • Foster data-driven culture and embed product analytics best practices (funnels, cohorts, activation, retention, north-star metrics).
  • Stay current on product analytics craft (Amplitude, Mixpanel, PostHog) and bring relevant techniques into the team.

Qualifications

  • Bachelor’s degree in a relevant field (Data Science, Statistics, Computer Science, Economics, Engineering, or similar).
  • 4–6 years of analytics experience, with at least 2–3 years specifically in product analytics, partnering directly with Product teams.
  • Demonstrated track record across full product launch cycles — pre-launch design, instrumentation, A/B testing, post-launch impact reads.
  • Strong proficiency in SQL — able to write complex, performant queries against production warehouses independently.
  • Hands-on Tableau experience building and maintaining dashboards for non-technical product audiences (Power BI / Looker considered if Tableau ramp-up is fast).
  • Solid grounding in experimentation methodology and product analytics best practices (funnels, cohorts, retention, north-star metrics).
  • Python proficiency for analysis, automation, and statistical work.
  • Strong business acumen and the ability to translate product questions into rigorous analytical solutions and recommendations.
  • Tech startup/marketplace/logistics-product experience is a strong plus.
  • Excellent stakeholder communication — comfortable with PMs, engineers, and execs.

Skills

Required:Product analyticsSQLTableauPython

Benefits

  • AI-supported resume/applicant-review tools used in hiring (AI tools may be used in process)
Last updated Oct 21, 2026. Interested? Apply on the company site.
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