Azenta Life Sciences · 6 hours ago
Senior Product Data Analyst
Azenta Life Sciences is seeking a Senior Product Data Analyst to drive actionable insights and shape product decisions. This role involves partnering with UX, Engineering, and Business stakeholders to define metrics, build dashboards, and uncover opportunities for product innovation.
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
Qualification
Required
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
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)
Amplitude
Mixpanel
Adobe Analytics
Company
Azenta Life Sciences
Azenta Life Sciences provides life sciences solutions.
H1B Sponsorship
Azenta Life Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (3)
2023 (13)
2022 (16)
Funding
Current Stage
Public CompanyTotal Funding
$508.35MKey Investors
JP Morgan ChaseBrooks AutomationBroadOak Capital Partners
2022-11-23Post Ipo Equity· $500M
2021-12-01IPO
2014-03-12Series Unknown· $5.85M
Recent News
2025-12-10
Morningstar.com
2025-11-21
Company data provided by crunchbase