Senior Product Analyst

Role Overview

• 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.

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.

Tech Stack

• Python
• SQL
• Tableau