Job Description

Roles & Responsibilities

Job Responsibilities:

1- Product Performance Partnership:

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.

2- Experimentation & Causal Inference:

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.

3- Tableau Dashboards & Self-Serve Visibility:

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.

4- SQL & Data Foundations:

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.

5- Cross-Functional Collaboration:

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.

6- Best Practice & Craft:

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.

Desired Candidate Profile

Job Requirements:

• 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.