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.

Requirements

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.

Benefits

Comprehensive benefits plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisdata managementdata operationsSQLPythondata mappingdata normalizationdata qualitytroubleshootinganalytical skills

Soft skills

problem-solvingattention to detailcommunicationconsultative supportclient engagementcollaborationtechnical documentationrisk identificationprocess improvementautomation recommendations