Azenta Life Sciences

Azenta Life Sciences

Senior Product Data Analyst

US - Burlington, MA · Senior

Sponsorship not specified$107k-$134kDetected 9 days ago
PythonSQLSnowflakeDatabricksAzureMachine LearningData EngineeringData VisualizationLLMsStatisticsA/B TestingCybersecurityComplianceProduct ManagementProduct StrategyRoadmappingForecastingCommunicationPublic Speaking

About the role

  • Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.
  • This individual will combine strong analytical expertise with modern AI capabilities to transform data into insights, predictions, recommendations, and intelligent product improvements.

Responsibilities

  • Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, customer experience, and business value.
  • Design and measure AI-specific KPIs including adoption, utilization, accuracy, relevance, usefulness, productivity gains, customer satisfaction, user trust, and business impact.
  • Develop predictive and prescriptive analytical models to support product prioritization, customer behavior forecasting, segmentation, roadmap planning, and opportunity scoring.
  • Build and maintain self-serve dashboards in Power BI or Tableau to support product transparency, executive visibility, and data-driven decision-making.
  • Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support.
  • Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs, feature performance, and AI-driven recommendations.
  • Support data definition, documentation, metadata alignment, and analytics governance across Product, UX, Engineering, and Business stakeholders.
  • Build reusable analytics assets, prompts, dashboards, measurement frameworks, and documentation that help teams use AI responsibly and consistently.

Requirements

  • 5+ years in data, product, business analytics, or digital analytics roles with measurable impact on digital product performance.
  • Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and scalable analytical workflows.
  • Experience conducting behavioral, product, funnel, retention, cohort, journey, and experimentation analysis using large-scale data.
  • Experience defining metrics, synthesizing complex data sources, and delivering insight in agile, cross-functional teams.
  • Familiarity with data governance, data privacy, security controls, metadata management, and responsible AI principles.

Nice to have

  • Experience designing analytics solutions for AI-enabled products, digital platforms, intelligent automation, or customer-facing digital experiences.
  • Experience measuring and optimizing AI feature adoption, recommendation quality, conversational AI performance, copilots, personalization capabilities, or model usefulness.
  • Experience with Azure AI services, Azure OpenAI, Databricks, Snowflake, Microsoft Fabric, or other cloud-scale analytics environments.
  • Knowledge of model monitoring, model lifecycle management, experimentation frameworks, explainability, bias mitigation, and human-in-the-loop validation.
  • Familiarity with experimentation platforms such as Adobe Target, Optimizely, or similar tools.
  • Exposure to compliance frameworks such as GDPR, 21 CFR Part 11, or relevant data governance and privacy standards.
  • EOE M/F/Disabled/VET
  • Azenta is an Equal Opportunity Employer.

Skills

  • At Azenta, new ideas, new technologies and new ways of thinking are driving our future.
  • All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity
  • Senior Product Data Analyst

Compensation

  • $107,000.00 - $134,000.00
  • 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.

Benefits

  • Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation, and Generative AI to improve digital products, customer experiences, insight generation, and operational efficiency.
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This listing is sourced directly from Azenta Life Sciences's careers page and normalized into a canonical job model.