Top Analysis Reporting Jobs in Hampton, VA

The Analytics Architect will design and implement cloud-based analytics solutions, maintain data pipelines, ensure data quality, and collaborate with teams to enhance operational efficiency.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Lead BI & analytics delivery for clients: manage BI analysts, oversee data mapping, governance, tabular models, dashboards, and reporting. Partner with clients and engineering to develop analytics roadmaps, optimize Power BI models, automate data workflows, and drive platform-scale BI solutions.

Lead actuarial analyses for value-based care, forecasting Medicare risk and financial performance using large claims and EHR datasets (CCLF, BCDA). Build SQL data structures, IBNR and risk score projections, create executive dashboards, support budgeting, and ensure regulatory compliance under CMS/CMMI programs.

Serve as a client-facing business systems analyst who gathers and translates user needs into functional/system requirements, develops queries and documentation, supports testing and implementation, and maintains client system knowledge. Collaborate with IT and stakeholders to plan projects, perform impact analyses, resolve issues, and promote continuous improvement.

Lead GHG inventories and sustainability reporting for real estate clients; manage data collection, onboarding to Conservice's platform, quality-checking, and client communications. Produce analyses (e.g., SB 253, embodied carbon), prepare reports and submissions, collaborate with internal teams and external assurers, and drive process improvements to support sustainability program delivery.

Process and QA/QC LiDAR point clouds and derivative products (DEMs, DTMs, TINs, contours); coordinate surveys; develop and optimize LiDAR SOPs, metadata, and technical reports; train staff and support client technical communications.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Design, build, deploy, and maintain configurable, metadata-driven analytics platforms and workflow/decision engines for Risk Adjustment. Partner with analysts to translate processes into auditable, scalable solutions; own full lifecycle, production support, monitoring, and performance optimization while applying AI where beneficial.