Top Entry Level Data & Analytics Jobs in Richmond, VA

Develop and customize Data Warehouse reports using Excel by writing queries to connect to Oracle. Build and optimize SQL queries, understand Oracle database structures and tables, and tailor report outputs. Familiarity with how Excel generates reports from Oracle is required. Cognos Impromptu experience is a strong plus. Position requires 100% onsite relocation and candidates must be U.S. citizens or green card holders.

Create and customize data warehouse reports using Excel and SQL against Oracle databases. Write and optimize queries, understand Oracle tables and how Excel generates reports, and optionally use Cognos Impromptu.

Analyze business reporting needs, translate requirements into technical specifications, and design, develop, maintain, validate, and troubleshoot dashboards, scorecards, and reports using SSRS, SQL, Visual Studio, and Report Builder. Collaborate with stakeholders, analysts, engineers, and business leaders to reconcile data, optimize queries, eliminate redundant metrics, and deliver accurate reporting solutions that support business decisions.

Analyze business processes, systems, and datasets to define requirements, develop data models, implement governance and quality practices, and produce actionable insights. The role includes data profiling, ETL and data wrangling, statistical analysis, visualization, reporting, and stakeholder communication. Data Analysts collaborate with engineers, architects, scientists, product owners, and clients to solve complex business problems and support informed decision-making.

Develop and maintain Palantir Foundry data pipelines, transformations, Ontology models, workflows, data products, and user-facing applications. Integrate structured and unstructured data from enterprise systems and cloud platforms using Python and SQL. Implement data quality, governance, metadata, lineage, testing, and validation practices while collaborating with technical and business stakeholders. Support Agile development, documentation, modernization, AI-enabled analytics, troubleshooting, and federal data solutions.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

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.

The job description provides no substantive responsibilities or qualifications beyond the Director, Data Engineering title. The posting contains general company information, benefits, equal employment opportunity language, and application details. Specific duties, required technologies, experience, education, and other role expectations are marked as TBD or not provided.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

The Campaign Data Associate manages data, reporting, quality control, and support needs for nationwide door-knocking programs. Responsibilities include maintaining Touchstone territory groups and accounts, building departmental data tools, managing daily and nightly reporting, and responding to data support requests. The role is remote but may require occasional travel for training and in-person events, with flexible 50+ hour schedules during peak periods.