Senior Product Data Analyst

Azenta Life Sciences; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading life sciences company is seeking a Senior Product Data Analyst to drive actionable insights and elevate their data-driven culture. This role involves defining product KPIs, conducting thorough analyses of user behavior, and building dashboards in Power BI or Tableau. Ideal candidates will have 5+ years of experience in data analytics and proficiency in SQL and Python, along with excellent communication and collaboration skills. The position is onsite 4 days per week in Burlington, MA, to foster teamwork and innovation.

Qualifications

• 5+ years in data, product, or business analytics roles with measurable impact.
• Proficiency in SQL and Python for querying and analysis.
• Strong skills in Power BI or Tableau for dashboard creation.

Responsibilities

• Define and maintain core product KPIs to inform business value.
• Conduct analyses on product performance and user behavior.
• Build self-serve dashboards to support decision-making.

Skills

Data storytelling

Communication skills

Collaboration

Behavioral analysis

Product analysis

Tools

SQL

Python

Power BI

Tableau

Jupyter

Git

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)