Healthcare / Oncology Senior Data Analyst

Healthcare / Oncology Senior Data Analyst

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Healthcare / Oncology Senior Data Analyst based in Tampa Florida, with the option to work fully remotely.

Position Overview

The Senior Data Analyst will play a critical role in the execution of data-related Statements of Work (SOWs) within the companies' Life Sciences team. This role is focused on hands-on data wrangling, quality assurance, and the development of backend data pipelines and outputs that support high-impact oncology analytics projects. The ideal candidate is highly proficient in SQL and data visualization, experienced with healthcare data, and capable of supporting cross-functional projects through strong technical execution.

Key Responsibilities

Execute project-specific deliverables outlined in client SOWs, including:

• Cohort creation and treatment journey mapping
• NGS utilization and biomarker analysis
• Real-world evidence studies
• Reporting for payor adherence and education initiatives
• Lead feasibility analyses to support business development needs
• Build and maintain SQL queries, stored procedures, and data tables to support internal and client-facing analytics
• Develop and refine Power BI dashboards and R/Python-based outputs to support both ad hoc requests and standardized reporting
• Conduct thorough data validation and QA checks to ensure delivery of accurate, clean, and reliable datasets
• Collaborate with engineering and data operations teams to support and enhance back-end data pipelines
• Contribute to schema development and data model design to ensure data delivery infrastructure scales with client needs
• Document and track completion of assigned tasks and deliverables across multiple concurrent projects

Required Qualifications

*Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field

*Strong proficiency in SQL and at least one scripting/statistical language (R or Python)

*Experience working with relational databases and managing large-scale datasets

*Ability to design and QA data tables, visualizations, and output files for real-world use

*Familiarity with Power BI or similar business intelligence platforms

*Strong attention to detail and a commitment to high-quality work

*Comfortable working in a fast-paced, collaborative, and remote-first environment

Preferred Qualifications

*Experience working with healthcare data, especially oncology, EHR, or claims

*Knowledge of the Azure environment or cloud data infrastructure

*Exposure to NGS data, biomarker testing, or real-world evidence generation

*Understanding of data pipeline components (ETL, data modeling, QA frameworks)