Data Modeler 

  • Full-time
  • Department: Digital & Technology
  • Job Family: Analytics

Company Description

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 an experienced Data Modeler with strong expertise in the US Healthcare domain to design, develop, and optimize enterprise data models. The ideal candidate will analyze business requirements, translate them into scalable data architectures, and ensure consistency, quality, and performance across systems.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

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

  • Analyze and translate complex business requirements into long-term, scalable data models.
  • Design and develop conceptual, logical, and physical data models aligned with enterprise architecture.
  • Work closely with business stakeholders, data architects, and development teams to define data flows and system integrations.
  • Evaluate and assess existing data systems for gaps, redundancies, and optimization opportunities.
  • Implement enterprise data strategies supporting analytics, reporting, and operational systems.
  • Develop and enforce data modeling standards and best practices to ensure coding consistency and governance compliance.
  • Review modifications to existing systems to ensure cross-platform compatibility and data integrity.
  • Update and optimize local data models and metadata repositories.
  • Conduct variance and discrepancy analysis to identify performance or data quality issues.
  • Troubleshoot, tune, and optimize data systems for performance, scalability, and reliability.
  • Support regulatory compliance requirements specific to US Healthcare (e.g., claims, EHR, HIPAA data handling standards).
  • Collaborate with ETL, BI, and application teams to ensure seamless data integration.

Qualifications

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

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

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 6+ years of experience in data modeling and data architecture.
  • Extensive hands-on experience in the US Healthcare domain (Claims, Providers, Members, EHR/EMR, Payers, HIPAA compliance).
  • Strong expertise in:
    • Conceptual, Logical, and Physical Data Modeling
    • Dimensional Modeling (Star/Snowflake Schema)
    • Data Warehousing Concepts
    • Metadata Management
  • Strong SQL knowledge and experience with relational databases (e.g., SQL Server, PostgreSQL).
  • Experience working in Agile/Scrum environments.
  • Strong understanding of data governance, data quality, and master data management.

 

PREFERRED QUALIFICATIONS:

  • Experience working with healthcare standards such as:
    • HL7
    • HIPAA
    • FHIR
  • Exposure to cloud data platforms (Azure, AWS, GCP).
  • Knowledge of healthcare data models (Claims, Eligibility, Encounters, Clinical data).

 

Key Skills & Competencies

  • Strong analytical and problem-solving skills
  • Excellent stakeholder communication skills
  • High attention to detail and data accuracy
  • Ability to work independently and in cross-functional teams
  • Strong documentation and governance mindset

Additional Information

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.

Client Delight I own every client experience and its impact on results.

Take Action I am empowered and empower others to act now.

Grow Talent I own my development and invest in the development of others. 

Win Together I passionately connect with anyone, anywhere, anytime to achieve results.

Communication Matters I speak up to create transparent, thoughtful and timely dialogue.

Embrace Diversity I create an environment of awareness and respect.

Always Innovate I am bold and creative in everything I do.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

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