Azenta (Nasdaq: AZTA) is a leading provider of life sciences solutions worldwide, enabling impactful breakthroughs and therapies to market faster.

Azenta provides a full suite of reliable cold-chain sample management solutions and genomic services across areas such as drug development, clinical research and advanced cell therapies for the industry's top pharmaceutical, biotech, academic and healthcare institutions globally.

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 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 quant + qual 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)