Senior Data Analyst - Remote Healthcare Oncology Insights

Tempus; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

Tempus is seeking a Senior Data Analyst to design and execute clinical evidence studies, leveraging dbt and SQL to model data across oncology programs. You’ll build reports for monitoring KPI metrics and visualize study performance, enabling real-time insights for physicians and researchers.

You will develop data automation pipelines, support data integration across data marts with de-identification of PHI, and contribute to maintainable, high-quality code and documentation in a fast-paced

Qualifications

• 5+ years of relevant work experience in Life Sciences or Healthcare analytics.
• Strong command of SQL and scripting languages (R or Python).
• Experience using Looker for BI and reporting.
• Experience in oncology, cancer genomics, molecular biology or clinical trials.
• Experience building client-ready deliverables and outputs.
• Experience translating disorganized data into actionable insights.
• Excellent communication skills with diverse audiences.
• Ability to own deliverables, navigate ambiguity and manage multiple projects.
• Thrives in a fast-paced healthcare environment.

Responsibilities

• Develop clinical data models using dbt and SQL based on business needs and data interop requirements.
• Develop reports for central monitoring, KPI metrics, and visualization of study performance.
• Develop data automation pipelines for data delivery and post-processing of data for analysis-ready datasets.
• Support data integration across data marts, including de-identification of PHI.
• Support best practices for code maintenance, validation and documentation.

Skills

Communication

Ownership

Analytical thinking

Tools

dbt

SQL

R

Python

Looker

Job description

Tempus is seeking a Senior Data Analyst to design and execute clinical evidence studies, leveraging dbt and SQL to model data across oncology programs. You’ll build reports for monitoring KPI metrics and visualize study performance, enabling real-time insights for physicians and researchers.

You will develop data automation pipelines, support data integration across data marts with de-identification of PHI, and contribute to maintainable, high-quality code and documentation in a fast-paced