Data Operations Engineer Associate

Huron helps its clients drive growth and enhance performance in the healthcare sector. The Data Operations Engineer Associate is responsible for building and maintaining data pipelines, ensuring data quality, and supporting analytics solutions for healthcare organizations.

Responsibilities:

• Design, build, and maintain Power BI datasets, semantic models, and reports used across multiple client engagements
• Develop and optimize data models and DAX calculations to support scalable, high‑performance analytics and dashboards
• Prepare, transform, and shape data for analytics using SQL, Power BI (Power Query), and Azure‑based data sources
• Coordinate and support Power BI dataset refreshes, troubleshoot failures, and resolve performance or data issues
• Perform data quality assurance to validate accuracy, completeness, and reasonableness of data prior to analytics and reporting use
• Review incoming client data and develop mapping logic and documentation to support analytics‑ready SQL tables and Power BI datasets
• Collaborate closely with stakeholders to translate reporting and business requirements into clear, consumable Power BI dashboards
• Support Azure‑based data environments that feed Power BI solutions, including SQL databases, Azure Data Factory pipelines, and SFTP integrations
• Enable secure client data ingestion by supporting SFTP access, file transfers, and troubleshooting connectivity and ingestion issues
• Work with healthcare data containing PHI, ensuring compliance with security, privacy, and data governance standards throughout the analytics lifecycle
• Collaborate with internal team members and consultants to resolve data and reporting issues, prioritize requests, and support multiple concurrent client engagements

Requirements:

• Bachelors in Computer Science, Information Systems, Analytics, or equivalent applicable experience
• Minimum of 2 years of hands‑on experience with Power BI, expert level knowledge of Semantic Models, Parameters, Pipeline deployments, Incremental refresh policies, Measures, Workspace configuration and credentials
• Strong experience with SQL and relational databases for analytics and reporting purposes
• Experience designing and supporting analytics‑ready data models (star schema, dimensional modeling preferred)
• Familiarity with Azure‑based data environments that support analytics (e.g., Azure SQL, Data Factory)
• Experience working with multiple data formats, including flat files, JSON, and healthcare transaction files (837/835 preferred)
• Strong attention to detail, data quality, and documentation
• Ability to manage multiple priorities in a fast‑paced, multi‑client environment
• U.S. work authorization required