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GRAIL

Senior Data Analytics Engineer

GRAIL

. Bridge Data Engineering, Data Science, and Analytics to curate and transform raw operational and laboratory data into BI-ready datasets and scalable data products.

Posted 4/20/2026full-timeDurham • North Carolina • 🇺🇸 United StatesSenior💰 $118,000 - $157,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSPythonSQLTableau

About the role

Key responsibilities & impact
  • Bridge Data Engineering, Data Science, and Analytics to curate and transform raw operational and laboratory data into BI-ready datasets and scalable data products.
  • Collaborate across Software, Operations, Research, Development, and Commercial to design and sustain a robust data ecosystem.
  • Perform analysis and build and maintain dashboards and analytical tools that monitor high-throughput lab processes.
  • Ensure the accuracy, accessibility, and utility of data and reporting systems that are critical to lab efficiency, traceability, and product quality.
  • Deliver trusted insights that drive measurable business value in a rapidly growing environment.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field.
  • 5+ years of relevant experience as a data analyst, analytics engineer, or data engineer delivering production-grade datasets, dashboards, and reports.
  • 3+ years of data modeling experience (dimensional/semantic).
  • 2+ years building dashboards and reports in a modern BI platform (e.g., Tableau).
  • Proficiency in SQL and at least one programming language (Python or R).
  • Hands-on experience with AWS analytics services (e.g., Redshift, S3, Glue, Managed Airflow) and/or Snowflake.
  • Experience working with SaaS application data sources (e.g., NetSuite, Salesforce, Workday, Coupa).
  • Proven expertise in process analytics, SPC, statistical methods, and root-cause analysis (e.g., JMP, Minitab; SQL; Python/R).
  • Demonstrated ability to collaborate with stakeholders and system users to deliver robust solutions and measurable results.
  • Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory operations.

Benefits

Comp & perks
  • flexible time-off or vacation
  • a 401(k) retirement plan with employer match
  • medical, dental, and vision coverage
  • carefully selected mindfulness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analysisdata modelingdashboard developmentreportingSQLPythonRAWS analytics servicesSnowflakestatistical methods
Soft Skills
collaborationstakeholder engagementproblem-solvingcommunicationanalytical thinkingattention to detailadaptabilityteamworkorganizational skillsresults-oriented