Senior Technical Data Analyst

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

THE POSITION:

We are seeking a highly motivated and experienced Senior Technical Data Analyst to join our growing Patient Services team. In this critical role, you will be responsible for managing, analyzing, and optimizing data workflows across HUB and Pharmacy systems. This role will focus on integrating data from multiple sources, ensuring data quality, and delivering insights that support critical business functions in HUB solutions and pharmacy operations. The candidate will work closely with IT teams, Pharmacy Staff, Call Agents, and business leaders to ensure that data-driven solutions enhance operational efficiencies, compliance, and patient outcomes.

The candidate will work directly with customer-facing colleagues and pharmaceutical clients using effective communication and business acumen in tandem with working technical knowledge of the organization’s solution offerings. The Senior Technical Data Analyst will be responsible for managing and facilitating data transfer agreements between internal systems, third-party vendors, and business partners.

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

• Data Model Maintenance:
  • Lead the development, maintenance, and optimization of the HUB data model, ensuring seamless integration with pharmacy systems and other enterprise platforms.
  • Manage updates and improvements to the data model to support evolving business needs, new healthcare regulations, and integration with pharmacy workflows.
  • Ensure data consistency, accuracy, and integrity across HUB and pharmacy systems, address data discrepancies and performing root cause analysis on data quality issues.
• Creation and Standardization of Data Transfer Agreements (DTA’s):
  • Lead the development and drafting of DTA’s that outline the terms, conditions, and security requirements for the exchange of data between internal departments and external partners.
  • Develop and implement standardized templates and processes for data transfer agreements to be used across different client programs and data-sharing initiatives.
  • Collaborate with IT and data engineering teams to design secure, scalable processes for data transfer, using technologies such as APIs, SFTP, Data tokenization, Encryption, and cloud-based solutions.
• Data Analysis and Reporting:
  • Perform in-depth analysis of data related to HUB operations, pharmacy workflows, patient engagement, and healthcare compliance.
  • Develop reports and dashboards that provide actionable insights on prescription adherence, patient outcomes, and key performance indicators.
  • Implement automated solutions for monitoring data transfers, reducing manual interventions and enhancing the scalability of data-sharing operations.
• Compliance and Data Governance:
  • Ensure that all data transfers adhere to data privacy and security regulations, such as HIPAA, GDPR, and CGMP, as well as internal data governance policies.
  • Partner with compliance and security teams to mitigate risks associated with data transfers and ensure proper controls are in place.
  • Monitor data transfer activities to ensure they meet agreed-upon terms and troubleshoot any issues related to data exchange or compliance.