Top Business Intelligence Jobs in Richmond, VA

The Senior Institutional Research Analyst supports data-driven decision-making at Richmond HEIs by managing data analysis, survey research, and reporting.

The Director of Business Intelligence will lead the BI function, manage a team, and ensure data-driven decisions across the organization while collaborating with various departments.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

As a Business Intelligence Analyst at Doximity, you'll analyze complex datasets, create client-facing analyses, automate data processes, and collaborate with teams to improve healthcare insights.

The Senior Business Intelligence Engineer will create data models, develop insights, collaborate with teams, and ensure data quality to drive business growth.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

The Business Intelligence Developer designs and implements BI solutions, develops dashboards and SQL queries, and collaborates with stakeholders to enhance data-driven decisions.

The Lead Sr. Business System Analyst will lead requirements definition, data and systems analysis, and quality assurance while collaborating with stakeholders, particularly in the financial services industry.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

Lead the BI & Data Engineering team, overseeing data operations, driving self-service capabilities, and influencing data strategy for Babylist.

The SME will provide expert advice on data warehousing and BI systems, guide technical teams, and ensure high-quality data delivery.

This role involves transforming data into insights, building dashboards and reports, ensuring data quality, and supporting decision-making for educational institutions.

The BI Manager leads data analytics initiatives, manages client relationships, develops dashboards, and supports data governance efforts within the Business Intelligence Solutions team.

Lead a BI team to develop data-driven insights, dashboards, and data models. Collaborate with departments, analyze risks, and improve BI processes while promoting data literacy and decision-making.

The Business Intelligence Developer will design, develop, and maintain BI solutions, collaborate with teams, handle large datasets, and ensure data quality.

The role involves designing, developing, and maintaining reports and analytics for healthcare operations, with emphasis on relational database structures and data analysis.

As a Power BI Developer, you'll transform Qlik dashboards into Power BI, ensuring accuracy, usability, and collaboration with internal teams while optimizing visualization performance.

The BI Engineer II develops and maintains BI infrastructure, manages data pipelines, creates reports, and collaborates with teams for data-driven insights.

As a Revenue Management Analyst, you will analyze business results, develop financial models, and track performance metrics to optimize revenue. You will work with data visualization and process automation tools to drive insights and improve reporting.

The Business Intelligence Analyst will design analytics solutions, integrate data, develop insights, and create dashboards to support various business units.

The Data Analyst will manage BI & reporting pipelines, translate business requirements into KPIs, and create reports and dashboards while ensuring data accuracy.

The AVP, Business Intelligence Analyst will oversee BI delivery for various departments, develop KPIs, create dashboards, and ensure data accuracy and compliance with BI standards.

The Business Intelligence Analyst will analyze data, generate reports, identify trends, visualize data, ensure data accuracy, and support decision-making.

The role involves creating reports, analyzing financial data, and collaborating with teams to enhance credit risk management and reporting processes. Requires expertise in SQL and Python for data analysis and reporting.

Lead and mentor the business intelligence team, oversee BI activities, optimize tools and processes, and collaborate to create measurable value.