Senior Product Data Analyst

Senior Product Data Analyst Position Summary Onsite 4 days/week in Burlington, MA. We are hiring a Senior Product Data Analyst to drive actionable insights, shape product decisions, and elevate our data‑driven culture. As a core member of the Product team, this role partners with UX, Engineering, and Business stakeholders to define metrics, build intuitive dashboards, and uncover opportunities that accelerate product innovation.

Key Responsibilities Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value. Conduct deep‑dives into product performance, user behavior, funnel conversion, and feature usage. Deliver product opportunity and prioritization recommendations through data synthesis and scenario modeling.

Analyze results from A/B and multivariate tests to evaluate product experiments and performance impact. Build and maintain self‑serve dashboards in Power BI or Tableau to support product team transparency and decision‑making. Communicate complex findings via visual storytelling, presentations, and concise executive summaries.

Support data definition, documentation, and alignment across product and engineering partners. Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity. Partner with UX and PMs to triangulate quantitative and qualitative data for experience and journey optimization.

Contribute to a growing data culture and support implementation of best practices in analytics methodology and governance. Required Qualifications 5+ years in data, product, or business analytics roles with measurable impact on digital product performance. Proficiency in SQL and Python for querying, analysis, and automation.

Strong skills in Power BI, Tableau, or similar tools for dashboard creation and reporting. Deep experience conducting behavioral, product, and retention analysis using large‑scale data. Excellent communication and data storytelling skills, with experience presenting to product and executive stakeholders.

Experience defining metrics, synthesizing data sources, and delivering insight in agile, cross‑functional teams. Preferred Qualifications Experience in enterprise SaaS, B2B, digital commerce, or life sciences environments. Familiarity with experimentation platforms (e.g., Adobe Target, Optimizely, Google Optimize).

Knowledge of statistical methods, A/B testing, or causal inference. Exposure to data governance, metadata management, and compliance frameworks (e.g., GDPR, 21 CFR Part 11). Top Outcomes (6-12 Months) Deliver a complete set of KPI dashboards across key product areas.

Develop and operationalise product opportunity and prioritization models. Build a scalable analytics framework that supports experimentation, decision‑making, and roadmap validation. Tools & Technologies SQL, Python, Power BI, Tableau, Excel, PowerPoint Jupyter, Git, Confluence Amplitude, Mixpanel, Adobe Analytics (nice to have) EOE M/F/Disabled/VET.

If any applicant is unable to complete an application or respond to a job opening because of a disability, please email [email protected] for assistance. Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

Compensation United States Base Compensation: $107,000.00 - $134,000.00. The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs. #J-18808-Ljbffr