Senior Analyst, Data Operations

Responsibilities Manage intake and fulfillment for provider requests to receive molecular data relating to oncology research initiatives Support accurate and timely execution of data deliverables for both Provider and Life Sciences sequencing collaborations Own and maintain documentation and process standards for data operations workflows and emerging molecular data products Translate client requirements into actionable plans by partnering with data quality teams to scope and deliver tailored solutions for high-impact customers Leverage SQL to manage complex and nuanced datasets, troubleshoot quality issues, and support curation of data metrics for internal stakeholders Serve as a resource across internal teams for data quality and maintenance Identify and execute on opportunities for process automation within the business unit Validate, investigate, and resolve discrepancies across large datasets Minimum Qualifications 2+ years of experience managing data workflows, process improvements, or operational support in a commercial or laboratory environment 2+ years of experience using SQL for basic data pulls, reporting, and database management Baseline knowledge of genomic healthcare data including molecular sequencing results and clinical patient information Clear communication and presentation skills, can articulate complex issues concisely Understanding of statistical concepts and data analysis techniques Excellent analytical and problem-solving skills Attention to detail and strong organizational skills Good communication and interpersonal skills Experience with data validation, cleaning, and query resolution Proficient in Microsoft Excel for data entry and simple analysis Ability to work independently to solve issues and drive projects forward Experience working with and managing external clients and stakeholders Adept at fostering relationships and working with diverse teams across the business Preferred Qualifications 3+ years of experience overseeing data management, process optimization, or operational support in a fast-paced industry environment 3+ years of experience using SQL for basic data pulls, reporting, and database management 1+ years of hands‑on experience with enterprise cloud computing and storage platforms (AWS, GCP etc.) Advanced Excel ability CRO experience and knowledge of the oncology space Knowledge of clinical trials and regulatory requirements Compensation CHI: $80,000-100,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Benefits Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. EEO Statement We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr Tempus AI, Inc.