Senior Product Analyst

 

 

Job Code:2025DATA-037 

 

As Product Analytics Lead, you will be the Product team’s embedded analytics partner — the analytics arm behind every launch, iteration, and product change. You will jointly define success metrics with PMs before features ship, instrument and measure their impact after they do, and own the Tableau dashboards that give Product leadership constant visibility on what is working and what is not. This role sits at the intersection of product strategy and data: translating product questions into rigorous analyses, and analyses into clear product decisions.

• 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.

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.

• 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.