Top Senior Analysis Reporting Jobs in Hampton, VA

Lead big data design and development using IBM's big data platform. Architect and build solutions for technical/scientific use cases with hands-on experience in Hadoop, Spark, HBase, Hive, Pig, and R. Communicate with customers, lead meetings, and guide diverse teams to deliver solutions.

Support executive leaders by leading cross-functional analytics, governance, and enterprise reporting initiatives. Develop analytic models, dashboards, and strategic reporting; guide stakeholders, coordinate data governance, ensure data quality, and present recommendations to senior leadership to drive value-based care, financial, and operational decisions.

Design and implement scalable cloud data platforms and ETL/ELT pipelines using Snowflake, dbt, Fivetran, Dagster on Azure. Build data models and analytics/reporting solutions (Power BI), optimize performance, translate business requirements into modern architectures, and provide client-facing consulting with strong stakeholder and executive communication.

The Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

Senior analytics role identifying and explaining healthcare trend drivers. Leads complex analyses, develops dashboards and actuarial pricing/valuation, mentors junior analysts, and promotes AI, automation, and visualization adoption to inform business decisions and risk management.

Design and implement data engineering and reporting solutions for MarTech/AdTech clients: build data models in BigQuery/dbt, manage ETL pipelines, create dashboards in Looker/Data Studio, validate integrations, and collaborate with product and engineering teams to scale reporting and analytics.

Lead design and delivery of scalable, secure cloud data pipelines and data products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0, dimensional), embed data quality/security/observability, optimize performance and cost, drive CI/CD/IaC/DataOps practices, mentor engineers, and support AI/ML-ready datasets within an agile DevSecOps pod.

Design, build, and operate scalable cloud data pipelines and platforms (development through production). Embed security, automation, CI/CD and testing; monitor, tune, and resolve incidents; provide technical design, mentoring, and cross-functional collaboration to deliver reliable healthcare-focused data products.

Senior data processing analyst responsible for end-to-end survey data processing: specifications, weighting, QA, documentation and deliverables. Produce datasets and tables, perform statistical tests, and modernise/automate workflows (Python/R, replace SPSS). Apply AI-assisted tools, act as technical lead for projects, and mentor junior analysts.

Design clear, engaging visuals from complex data and research. Produce charts, infographics, report visuals, factsheets and client-ready PowerPoint/Word deliverables. Advise teams on visual formats, improve document clarity and consistency, and contribute to dashboards or interactive outputs when relevant.

Provide MEAL technical advice and capacity strengthening to country teams and partners across RAPID and EMPOWER projects. Support MEAL system design and implementation, digital data-collection tools (Kobo/CommCare), data management, analysis, visualization, feedback and complaints systems, proposal MEAL components, and documentation. Conduct trainings, capture lessons learned, and represent CRS with donors and partners to improve program quality and accountability.

Lead and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.