Top Senior Data & Analytics Jobs in Richmond, VA

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Designs, builds, and maintains enterprise data pipelines, ETL processes, integrations, data infrastructure, and complex data models. The role supports analytics partners, develops scalable data warehouse solutions, tunes SQL and databases, troubleshoots production issues, and collaborates with architects, analysts, developers, and stakeholders. Responsibilities include end-to-end project delivery, data modeling, big data engineering, production support, agile planning, and mentoring team members.

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

Leads scalable data model and pipeline design, dbt development, testing, CI/CD, and analytics engineering implementations. Partners with analysts, engineers, and stakeholders to translate business needs into reliable models and semantic layers. Advises on data architecture, governance, quality, performance, and long-term scalability while mentoring peers and contributing to shared tooling, standards, and frameworks.

Develops and supports data architecture and medical imaging informatics solutions on the XNAT platform. Responsibilities include data integration, modeling, storage and delivery optimization, data-sharing, coding, testing, release management, defect reduction, technical documentation, and partner support. The role collaborates with research and clinical teams, oversees stable XNAT releases, and advances platform capabilities. Required qualifications include a bachelor’s degree or equivalent experience, five years of data-related experience, and PostgreSQL skills.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Designs, develops, and maintains ETL/ELT pipelines connecting SAP and other financial source systems to an enterprise budgeting and forecasting platform. Responsibilities include source-system analysis, data mapping and transformation, CDS view and SQL development, data quality validation, reconciliation, troubleshooting, performance tuning, documentation, and collaboration with technical and client stakeholders. The role requires strong SAP data integration expertise, financial data knowledge, and the ability to obtain a Public Trust clearance.

The Business Analyst gathers and prioritizes business requirements, supports technology platform design and implementation, maintains process and stakeholder knowledge, conducts software testing and quality assurance, assists with project planning, and trains end users. The role collaborates with vendors, IT, operations, underwriting, and distribution teams to align technology solutions with business needs, KPIs, and the organization’s technology roadmap.

Designs and manages Qualtrics in-product intercept surveys, targeting workflows, directories, and data collection. Analyzes user behavior, product performance, and survey feedback; builds dashboards and communicates actionable insights to product, UX, and leadership teams. Collaborates with qualitative researchers, data engineering, and development teams to integrate survey data with behavioral analytics platforms and enable access to behavioral datasets across B2B and B2C products.

Designs and maintains SAP BW data models, pipelines, ETL processes, and analytics integrations. Leads migration of SAP BW 7.x assets to SAP Business Data Cloud using SAP Datasphere and SAP Analytics Cloud, converts legacy objects into CDS-based semantic models, optimizes data flows, supports reporting migration, and ensures data quality, governance, lineage, and operational reliability across SAP and non-SAP environments.