Company Description
At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!
Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.
Job Description
We are seeking a technically skilled, hands-on Data Strategy Analyst with deep expertise in Real-World Data (RWD) to support and scale our data operations. This role is pivotal in managing external data vendors, conducting data feasibility assessments, ensuring privacy compliance, and enabling data-driven decision-making across the organization. Reporting directly to the VP of Product and Engineering, the Data Strategy Analyst will collaborate extensively across business units and with external data and technology partners, playing a key role in the acquisition, integration, and exploration of RWD assets.
To succeed in this role at EVERSANA Life Sciences, you should bring strong analytical capabilities, a deep understanding of healthcare data, and the technical proficiency to work across diverse data environments. You will be expected to combine data from multiple sources, support ad-hoc data requests, and build scalable solutions that empower teams across the enterprise.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• Education bachelor’s degree in engineering, Technology, or Computer Science; Master’s degree preferred.
• Experience and/or Training
• 5-7 years of relevant industry experience (Data Analysis, Healthcare, Pharmaceutical Consulting, Management Consulting, Market Research, Hospital systems, Payers, Enterprise level data-analytical solutions)
• Deep understanding of Real-World Data (RWD) including claims, EMR, Labs, Registry, Affiliations, Formulary, and patient-level datasets.
• Experience working with Datavant or similar data linkage platforms.
• Strong understanding of HIPAA and data privacy regulations.
• Excellent communication and stakeholder management skills.
• Experience with data contracting and vendor negotiations
• Technology/Equipment
• Strong hands-on experience with Snowflake, SQL, Python, AWS, and Tableau

Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• Vendor Management & Data Acquisition
• Serve as the primary technical liaison for RWD vendors, including Datavant, ensuring smooth onboarding, integration, and ongoing data delivery.
• Administer data contracts, negotiate terms, and ensure timely delivery of datasets.
• Evaluate new data sources for feasibility, quality, and relevance.
• Lead data feasibility assessments and due diligence for new data sources, evaluating structure, completeness, and fitness-for-use.
• Maintain a centralized inventory of RWD assets, including documentation, lineage, and usage guidelines.
• Data Engineering & Exploration
• Perform data pulls, transformations, and exploratory analyses to support ad-hoc requests.
• Collaborate with cross-functional teams to understand data needs and deliver against requirements
• Build solution/product prototypes using Snowflake, SQL, Python, and AWS.
• Compliance & Governance
• Ensure all data handling practices comply with HIPAA and internal privacy policies.
• Partner with legal and compliance teams to maintain data governance standards.
• Implement and monitor data de-identification, tokenization, and linkage processes in collaboration with privacy and security teams.
• Support audits and risk assessments related to data access, usage, and vendor compliance.
• Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
• All other duties as assigned.