Data Measurement and Reporting Advisor

Key Responsibilities

• Design, develop, and maintain complex technical solutions, including custom user interfaces, automation tools, and data pipelines supporting provider data, adoption, and regulatory compliance initiatives
• Build and enhance UI-driven tools and workflow solutions that automate manual processes, enable structured data collection, and support downstream reporting and analytics
• Develop and maintain ETL processes that ingest, transform, reconcile, and consolidate data from multiple internal systems and external vendor files
• Automate complex reconciliation and matching processes, reducing manual effort and enabling low-touch or one-click workflows for operational teams
• Translate business and operational requirements into scalable technical solutions, including data models, ETL logic, automation workflows, and backend processing across multiple platforms and data sources
• Refactor and modernize legacy reporting and automation solutions, improving performance, scalability, reliability, and maintainability across enterprise migration and modernization initiatives
• Work hands-on with complex and incomplete (“messy”) data, partnering with business stakeholders to understand upstream processes, data gaps, and system behaviors
• Partner directly with IT teams at a technical design level, defining data structures, tables, indices, and upstream capture requirements to ensure solutions are implemented correctly and sustainably
• Serve as a technical liaison between business and IT, while also performing hands‑on development work; this role is a hybrid of developer and business analyst, not a requirements‑only position
• Support end‑to‑end technical delivery for high‑visibility initiatives, including enterprise migrations, automation programs, provider data modernization, and regulatory reporting
• Identify opportunities for process improvement and automation to reduce manual effort, improve data quality, and increase operational efficiency
• Ensure data accuracy, consistency, and reliability across regulated and compliance‑sensitive environments through strong development, validation, and quality practices

• Bachelor's degree or higher strongly preferred or equivalent work experience required
• Strong experience with SQL and relational data design
• Hands‑on experience with ETL development and data pipeline engineering
• Proficiency in Python, C#, SSIS, and SAS (or comparable combination of scripting and programming languages)
• Experience building custom user interfaces or internal tools that support data capture, automation, or operational workflows
• Ability to translate complex business processes into technical, production‑ready solutions
• Experience working cross‑functionally with business partners and IT teams in complex enterprise environments