Lead e2e analytics delivery: intake and clarification of requests, analytic design, development, validation, interpretation, and final delivery.
Translate stakeholder questions into analytic specifications (cohorts, definitions, assumptions, time windows, and sensitivity checks).
Build and review production-grade analytics using SQL and Python in a modern cloud analytics environment; apply distributed processing patterns (Spark/PySpark) when appropriate.
Establish and enforce analytic quality standards including reproducibility, documentation, peer review, testing, and reconciliation against benchmarks or historical trends.
Partner with research/domain leaders to ensure analytic outputs are interpreted correctly and include appropriate caveats and limitations.
Advise clients on the meaning of their data and recommend actions they should take.
Optimize analytic throughput by creating reusable code patterns, standard templates, and repeatable workflows.
Mentor and coach analysts and engineers on technical execution, analytic methods, and clear communication of results.
Develop dashboards, reports, and KPIs to support executive decision-making.
Collaborate with engineering leadership on performance, scalability, job orchestration patterns, data pipelines and data governance aligned to security and compliance needs.
Support secure handling of sensitive data by following access controls, least-privilege practices, and project-specific data use requirements.

Requirements

All candidates must pass public trust clearance through the U.S. Federal Government.
10+ years of experience in analytics, data science, or data engineering with ownership of analytic delivery in production environments.
Advanced SQL and Python skills; strong capability with modern data processing frameworks (Spark/PySpark, distributed SQL engines, or equivalent).
Experience working in cloud analytics platforms such as Databricks, Snowflake, BigQuery, Redshift, Synapse, or similar.
Demonstrated ability to design rigorous analyses, validate results, and communicate methods and findings to technical and non-technical audiences.
Strong code quality habits including version control, documentation, review discipline, and testing/validation practices.
Strong hands-on experience working in Agile/Scrum environments.
Experience leading a team of analysts in regulated or high-stakes environments (e.g., healthcare, finance, insurance, government, critical infrastructure).

Benefits

full healthcare benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonSparkPySparkdata processing frameworksanalytics deliverydata validationcode qualityAgileScrum

Soft Skills

mentoringcoachingcommunicationcollaborationanalytical thinkingproblem-solvingstakeholder managementinterpretation of dataadvising clientsquality assurance

Certifications

public trust clearance