Senior Data Analyst

Overview As a Senior Data Analyst at Tempus, you will design and implement clinical data models and analytics pipelines to support cancer-focused real-world evidence studies. You’ll work with dbt, SQL, and scripting languages to deliver analysis-ready datasets and dashboards that monitor study performance. You will ensure data integration across marts and manage data de-identification for HIPAA compliance. You’ll translate complex data into actionable insights for cross-functional teams, driving precision medicine initiatives. This role offers a chance to impact clinical decision-making and patient care at a fast-paced, data-driven company. Compensation / Benefitsfull range of benefitsincentive compensationrestricted stock unitsmedical benefits ResponsibilitiesDevelop clinical data models using dbt and SQL based on business needs and interoperability with existing models and data delivery requirementsCreate reports for central monitoring, KPI metrics, and visualization of study performanceBuild data automation pipelines and post-processing routines to produce analysis-ready datasetsSupport data integration across data marts and manage de-identification of PHISupport code maintenance, validation, and documentation Key requirements5+ years in analytics or consulting within Life Sciences or HealthcareStrong SQL and scripting skills (R or Python)Experience with Looker or BI softwareExperience in oncology, cancer genomics, molecular biology, or clinical trialsExperience translating disorganized data into actionable insightsExperience with data cleaning, manipulation, and visualizationExcellent communication and ability to handle multiple projects in a fast-paced environmentOwnership mindset and ability to navigate ambiguityexcellent communication with diverse audiencesownership and accountabilityability to manage multiple projectsSQLdbtR or Python