Top Entry Level Data & Analytics Jobs in Richmond, VA

Two-year rotational, full-time entry-level Data Analyst role starting Feb or Aug 2027. Perform data mining, modeling, and analytics using cloud-based tools and SQL to drive business recommendations, integrate multi-source data, test marketing effectiveness, detect fraud rings, and support digital customer insights while collaborating across business, product, tech, and finance teams.

Support Personal Lines by extracting, modeling, reconciling, and analyzing data to create reports and Power BI dashboards. Audit data for compliance, surface trends and issues, assist teammates, and support data system releases and implementations.

Contact multifamily property owners and managers to verify and update property data (units, rents, concessions, images, contacts), ensure data quality, capture market intelligence, support sales onboarding, and provide high-quality customer service.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

The School Data Coordinator analyzes assessment data, maintains student achievement records, and supports data analysis training to enhance instruction for K-12 students, focusing on at-risk learners.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.