Top Senior Data & Analytics Jobs in Richmond, VA

Lead design and development of Abinitio ETL solutions, translate business requirements to schemas, perform data profiling and metadata work, use Unix scripting and RDBMS (Teradata/Oracle/DB2), and deliver reporting. Must have worked on multiple Abinitio projects.

Lead Data Architect provides strategic and hands-on leadership for cloud data initiatives, designing Databricks-first lakehouse architectures in Azure, guiding multiple delivery teams, specifying scalable data solutions, evaluating technologies, and driving ingestion/integration strategies while influencing stakeholders and supporting implementation.

Lead end-to-end migration of document-heavy legacy systems to cloud, converting unstructured records into analytics-ready formats, ensuring data quality and governance. Build and maintain MuleSoft integrations and APIs, apply data transformation (DataWeave), support Salesforce Data 360 implementation, and ensure lineage, metadata, and compliance while collaborating in Agile teams for phased cutovers and audit readiness.

Seeking a Senior Business Analyst with over 8 years of experience, skilled in documenting business processes, requirements analysis, and Identity Access Management, preferably with SailPoint knowledge.

The Business Analyst will perform business analysis in Insurance and Claims management, create test plans, and manage requirements documentation. Strong SQL skills and process modeling experience are required.

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.

Administers and secures Oracle databases supporting DISA contract systems. Responsibilities include database installation, tuning, access management, outage response, disaster recovery, security patching, STIG compliance, scripting, release support, data modeling, legacy data migration, reconciliation, and system integration. The role also supports Appian data stores and coordinates database changes with DISA, hosting providers, ISSOs, and development teams.

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.

Leads enterprise data engineering strategy and architecture, designing scalable cloud data platforms, pipelines, models, governance, and AI-assisted engineering solutions. Establishes technical standards, security, observability, and reusable frameworks; influences architecture decisions across teams without direct management. Mentors senior engineers, partners with business and technical stakeholders, and remains hands-on with cloud technologies, software architecture, data modeling, and platform design.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.