Data Operations Associate II

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will support the end-to-end lifecycle of client clinical data submissions, ensuring high-quality data intake and reliable data output across Vizient's clinical databases and reporting products. You will work directly with clients and cross-functional teams to troubleshoot data issues, maintain data integrity, and provide consultative guidance that enables clients to successfully submit data and maximize the value of Vizient analytics. You will apply analytical and technical skills to investigate submission challenges, communicate root causes, and support continuous improvement of data intake, reporting, and operational processes.

Responsibilities:

• Support ongoing client clinical data submissions by performing quality control checks to ensure data accuracy, completeness, and consistency across intake and reporting platforms.
• Serve as a primary data contact for assigned clients by participating in client calls, providing consultative support, and managing ongoing engagement.
• Explain data definitions, source system differences, submission thresholds, and volume drivers to help clients deliver high-quality, usable data.
• Investigate, troubleshoot, and resolve data submission failures using Databricks, SQL, and Python, identifying root causes and implementing corrective actions.
• Monitor data pipelines and submission outcomes to proactively identify risks to data integrity and downstream reporting.
• Apply data mapping and normalization techniques to ensure alignment with Vizient data models, standards, and reporting requirements.
• Conduct client orientations and support implementations by uploading files, creating templates, mapping data elements, and auditing results.
• Partner with internal development, data engineering, and cross-functional teams to document issues, validate fixes, and support enhancements to intake and egress processes.
• Answer intake methodology, reporting, and data source questions using documentation, data tools, and established processes, escalating issues as needed.
• Identify opportunities to improve data quality, report usability, and product adoption, and recommend enhancements or automation opportunities where appropriate.

Qualifications:

• Relevant degree preferred. Degree in Data Analytics, Information Systems, Healthcare Administration, Computer Science or related field is a plus.
• 2 or more years of relevant experience required.
• Experience performing data analysis, data management, or data operations with minimal oversight required.
• Working knowledge of SQL and experience using Python for data analysis or troubleshooting required.
• Experience working with large datasets, relational databases, and cloud-based analytics platforms; Databricks experience highly preferred.
• Experience working in a hospital or clinical healthcare environment highly preferred.
• Strong analytical, problem-solving, and technical troubleshooting skills with attention to data quality and detail.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience working directly with clients or external stakeholders in a consultative or support capacity.

Estimated Hiring Range:

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.