Senior Data Analyst - Remote

City/State Norfolk, VAWork Shift First (Days)Overview: Sentara is hiring a Senior Data Analyst! This position is fully remote. Overview The Senior Data Analyst supports the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical tooling that measure operational performance across the claims reprocessing lifecycle. Working across multiple claims adjudication platforms and the team's ticketing and data warehouse environments, this role turns raw claims and workflow data into reliable metrics on cycle time, turnaround, recovery volume, and queue health. The Senior Data Analyst partners with operations leadership to define complex reporting requirements, builds repeatable and auditable data pulls in place of manual one-off extracts, and contributes to data quality and stewardship so the team's operational numbers hold up under leadership and audit review. This is a hands-on individual contributor role for someone fluent in SQL and claims data, not a generalist business intelligence position. Job Description The Senior Data Analyst is the analytics owner for a healthcare claims reprocessing and payment integrity team operating across two health plan markets. The team handles overpayment recovery, claims reprocessing, provider contestment review, and the operational reporting that supports each. This role builds and maintains the data products the team and its leadership rely on to manage day-to-day work and to demonstrate performance against operational targets. Key Responsibilities • Design, build, and maintain operational dashboards and reports that track reprocessing cycle time, post-approval turnaround, queue and hold status, stalled or aging tickets, contestment volume, and recovery throughput. • Write and optimize complex SQL against multiple claims adjudication systems and an enterprise data platform, including queries that join claims data to ticketing and workflow data through established crosswalks. • Replace manual, ad-hoc extracts with documented, repeatable, and parameterized data pulls so that recurring reports are consistent and reproducible from one period to the next. • Translate operational questions from team leadership into clear reporting requirements, and document those requirements so the logic behind each metric is transparent and defensible. • Conduct ad-hoc analysis to answer time-sensitive operational and prioritization questions, including high-dollar case identification and workload distribution across reviewers and analysts. • Support data quality and stewardship efforts: validate that source data ties out, identify and document data gaps or anomalies, and flag conditions that would make a metric unreliable before it reaches leadership. • Partner with IT and data platform teams on data access, source structure, and the migration of operational data off manual processes onto governed, auditable platforms. • Produce reporting that is appropriate for a regulated, audited environment, including clear sourcing and documentation of report logic, while keeping the role's outputs limited to operational status and analytics rather than financial estimates or accounting determinations. • Promote self-service reporting where appropriate by building reusable, well-documented data products rather than serving every request as a one-off. Education