Top Remote Data & Analytics Jobs in Richmond, VA

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

Lead BI Center of Excellence efforts to design, govern, and implement enterprise data integration and BI solutions. Provide tooling expertise (Alteryx, APEX, Power BI), enforce governance, coach users, prioritize BI work, support migrations to strategic platforms, and produce documentation, metrics, and best practices to drive scalable, secure, and reusable analytics solutions.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

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.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Administer AWS-hosted PostgreSQL databases, managing monitoring, backups, restores, snapshots, security, maintenance, and performance tuning. Support database migrations, releases, troubleshooting, and data quality remediation. Build Python and SQL data pipelines, automation, CDC and streaming workflows using AWS services and Kafka technologies. Enable near-real-time data movement to reporting platforms, data lakes, Snowflake, and Databricks while collaborating with application, DevOps, QA, analytics, and business teams.

Designs, implements, maintains, and evaluates environmental databases for CMS Unified Case Management. Builds and maintains ETL pipelines using AWS, Snowflake, and PostgreSQL; implements automated data validation; automates reporting pipelines; creates dashboards, tables, plots, maps, and documentation. Performs data analysis, develops recommendations, follows project specifications, and presents findings to stakeholders while applying Agile practices.

Develops cloud-based business intelligence and reporting solutions using AWS, Spark, Power BI, and SAP BusinessObjects. Builds data pipelines and workflows integrating multiple sources, retrieves data from S3 and PostgreSQL, and supports enterprise analytics. Responsibilities include ETL, data warehousing, performance tuning, big data processing, AWS IAM, BI optimization, data visualization, and stakeholder presentations. The role also requires strong problem-solving, communication, Agile experience, and collaboration supporting CMS systems.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.