Top Analysis Reporting Jobs in Richmond, VA

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Senior Enterprise Performance Analyst will develop dashboards, analyze performance data, support decision-making, mentor junior analysts, and improve organizational performance.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

Design, build, and maintain scalable batch and streaming data pipelines, improve data modeling and governance, contribute to enterprise data architecture, and collaborate with cross-functional teams to ensure reliable, high-quality data for analytics and operational use.

Client-facing solution architect leading Azure data platform pre-sales: discovery, solution design, scoping, and SOW/proposal development. Architect modern data platforms (Fabric, Synapse, Databricks, ADLS), integration/orchestration (ADF, pipelines, CDC), data modeling, governance, security, and AI/GenAI enablement. Partner with sales and Microsoft for co-sell pursuits, lead workshops, and guide delivery teams to implement governed, production-grade data foundations that enable analytics and responsible AI at scale.

QA/Business Analyst responsible for developing and executing automated and manual tests, validating ETL/data pipelines and integrations, querying complex relational databases, using AI tools for anomaly detection and test generation, leading requirements gathering and maintaining traceability, documenting defects and data quality findings, and escalating critical issues to leadership.

Lead and own the population health analytics pipeline: intake and reconciliation of claims, eligibility, and MAO-004 data; identify and reconcile care gaps and closures; deliver practice-level performance analysis and billing reconciliations; build funnel instrumentation; document, standardize, and automate pipelines with Product and Engineering. Ensure billing-grade accuracy and support program measurement aligned to CMS reconciliation windows.