• Data Sr Analyst

    Zimmer Biomet (Warsaw, IN)


    At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.

     

    As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talented team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels inspired, invested, cared for, valued, and have a strong sense of belonging.

     

    What You Can Expect

     

    Zimmer Biomet is a world leader in musculoskeletal health solutions. Our team members are part of a company with a heritage of leadership, a focus on shaping the future, and a mission dedicated to alleviating pain and improving the quality of life for people around the world. We are seeking a highly skilled and detail-oriented professional to manage and maintain a large dataset of deidentified patient information. This role is critical in ensuring data integrity, security, privacy, and compliance with all applicable regulations. The ideal candidate will have strong technical expertise in data management, policy development, and advanced analytics, as well as the ability to collaborate with internal teams and external partners.

     

    This is a hybrid position, 2 days on site per week required in Warsaw, IN.

    How You'll Create Impact

    + Oversee the storage, organization, and maintenance of large-scale deidentified patient datasets.

    + Develop, implement, and maintain policies and procedures to ensure compliance with privacy, security, and regulatory requirements (e.g., HIPAA)

    + Manage expert determinations and documentation for deidentification processes.

    + Collaborate with external partners to acquire supplemental datasets.

    + Negotiate and manage data-sharing agreements and ensure compliance with contractual obligations.

    + Perform SQL queries to extract, transform, and analyze data.

    + Utilize advanced Excel functions, including Power Query, for data manipulation and reporting.

    + Leverage tools such as GitHub Copilot, Microsoft Azure, and other advanced analytical platforms for data analysis and automation.

    + Work with other data management systems and platforms to ensure interoperability and efficiency.

    + Identify opportunities to improve data workflows and implement best practices.

    + Document data analysis activities with internal protocols and reports, and lead publishing activities to share findings with the broader scientific community

     

    _This is not an exhaustive list of duties or functions and might not necessarily comprise all of the essential functions for purposes of the Americans with Disabilities Act._

    What Makes You Stand Out

    + Excellent problem-solving and analytical skills.

    + Ability to communicate complex technical concepts to non-technical stakeholders.

    + Strong organizational skills and attention to detail.

    + Strong time management skills to navigate competing priorities.

    + Proven experience with SQL (e.g. BigQuery) and advanced Excel (including Power Query).

    + Familiarity with cloud platforms (e.g., Microsoft Azure) and version control tools (e.g., GitHub).

    + Strong technical writing and written and oral communication skills

    + Strong understanding of data privacy and security regulations.

    Your Background

    + Bachelor’s degree required in Data Science, Computer Science, Information Systems, Public Health, or related field (Master’s preferred).

    + 3+ years in data management, governance, or analytics roles required.

    + **Preferred Qualifications:**

    + Experience with expert determination processes and privacy compliance frameworks.

    + Experience with cybersecurity assessments and adherence to current standards.

    + Experience with healthcare data or clinical research datasets.

    + Knowledge of additional data management systems or ETL tools.

    + Familiarity with machine learning or advanced statistical analysis.

    + Working knowledge of Python for data analytics.

     

    Travel Expectations

     

    5%

    EOE