Senior Data Analyst for Lab Production Support, Extended-Hours Support (ExHS)

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Workplace Type

Onsite

Data Analyst FAQ

Common questions from people exploring this role.

What does a Data Analyst do that’s different from a Data Scientist?

Is a degree in statistics or math required?

How important is SQL compared to Python for this role?

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Technical Execution and Infrastructure

* Deliver timely data support to Lab Operations teams, unblock production issues, and improve patient results turnaround times. * Apply statistical techniques to analyze complex datasets, diagnose operational issues, and support data-driven decision-making. * Perform exploratory data analysis, identify trends, and work with stakeholders to interpret findings and drive continuous improvement. * Design and implement automated solutions for recurring data analysis and production support workflows, improving operational efficiency and scalability. * Extract, transform, and analyze data to generate actionable insights that support lab production operations and business decisions. * Document analytical processes, best practices, and insights to ensure consistency and knowledge transfer across teams.

Process Improvement

* Develop and optimize solutions for efficient data retrieval and scalable performance on large and/or complex datasets. * Learn and acquire operational efficiencies on new technologies and solutions developed by other DSPE teams. * Train and coach junior team members on new technologies, procedures, and guidelines/best practices.

Cross-Functional Collaboration

* Collaborate with Lab Operations and Product teams to identify process issues, assist with root cause analysis, and provide product support. * Represent the Data Science Production Engineering (DSPE) team in stakeholder meetings. * Effectively and correctly escalate encountered issues to other DSPE teams.