Senior Product Analyst

• Job Requirements:
• 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 analytical results back into clear product recommendations.
• Tech startup/marketplace / logistics-product experience is a strong plus.
• Excellent stakeholder communication – equally comfortable with PMs, engineers, and execs.

• 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. Own the experimentation

rigor bar — sample size, MDE, segment cuts, novelty and network effects.

• Apply best-practice methods (matched pairs, difference-in-differences, regression adjustment)

where randomization is not feasible.

• Communicate results with clear effect sizes, confidence intervals, and recommended decisions
• not just p-values.

• Build and maintain the Tableau dashboards that give Product leadership real-time visibility on

every active product, feature, and experiment.

• Design dashboards around the questions PMs actually ask — funnels, cohorts, retention

curves, segment splits — not generic vanity metrics.

• Apply visualization best practices so insights are legible at a glance and decision-ready.

• Write production-grade SQL against Bosta’s warehouse to extract, transform, and analyze

product event and outcome data.

• Partner with data engineering to ensure clean, reliable instrumentation lands with new

features — not retrofitted weeks later.

• Maintain definitions, metric lineage, and documentation for all product KPIs.

• Partner directly with Product Managers, Designers, and Engineering across the full product

lifecycle — discovery, scoping, launch, iteration.

• Translate ambiguous product questions into analytical workstreams, and analytical findings

into product action.

• Brief leadership on product performance at the right altitude — strategic for execs, tactical for

PMs.

• Bring and embed product analytics best practices — funnels, cohorts, activation, retention,

north-star frameworks, leading vs. lagging indicators.

• Stay current on the product analytics craft (Amplitude, Mixpanel, PostHog patterns, growth

analytics literature) and bring relevant techniques into the team.

• Foster a data-driven culture inside the Product org — equipping PMs to read and reason about

their own data.

Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions.

We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.

Job Code:2025DATA-037