About this opportunity
Azenta Life Sciences lists this Senior Product Data Analyst opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
This role is 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 will partner with UX, Engineering, and Business stakeholders to define metrics, build intuitive dashboards, and uncover opportunities that accelerate product innovation. This is a high-impact, individual contributor role ideal for someone who thrives at the intersection of analytics, product, and user experience—and enjoys owning insights from data sourcing to storytelling.
Key Responsibilities
Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value
Conduct deep-dive analyses on product performance, user behavior, funnel conversion, and feature usage
Deliver product opportunity and prioritization recommendations through data synthesis and scenario modelling
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)
Top Outcomes (6–12 months)
Deliver a complete set of KPI dashboards across key product areas
Develop and operationalize 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, Cloud tooling
Amplitude, Mixpanel, Adobe Analytics (nice to have)
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.