Job Description

Azenta Inc.

At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.



All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity

Job Title

Job Description

Position Summary

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)

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, 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 at [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.

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.

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