Top Business Intelligence Jobs in Baltimore, MD

The Senior Workforce Management Analyst will optimize staffing and operational performance using WFM systems, collaborate with teams, analyze data, and drive improvements within clinical operations.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

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

The Sr. Special Assets Analyst focuses on data analysis, vendor performance oversight, and quality assessment to improve loan performance and reduce defaults.

Lead development and administration of BI solutions using Informix/Caesar, design and optimize ETL and data warehouse processes, build dimensional models and visualizations (Tableau/Microsoft BI), troubleshoot 4GL/Genero programs, collaborate on projects, and provide training and testing support to internal stakeholders.

The Sr. Manager of Business Intelligence drives analytic strategies in vehicle merchandising, collaborating across functions to deliver actionable insights through data analysis and reporting, using tools like MicroStrategy and Tableau.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

The role involves developing BI Analytics products, maintaining data warehouses, creating reports, and supporting business departments with data solutions.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

Lead end-to-end BI projects: translate business questions into data requirements, build executive client-facing Tableau dashboards, analyze multi-source marketing data, ensure data integrity, and present actionable insights to stakeholders in a fast-paced agency environment.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Lead Finance BI transformation by building a governed Snowflake/dbt semantic layer, standardizing KPIs, certifying reusable datasets, consolidating dashboards, implementing data quality, and optimizing Snowflake and Power BI performance to enable reporting, APIs, AI/ML, and automation.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.

Customer-facing senior Solutions Architect for AI/BI product line: design and deliver cloud-based lakehouse analytics and data-visualization solutions, partner with account teams and GSIs, run workshops and demos, act as tier-3 technical escalation, and translate field insights into product recommendations.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

The Business Intelligence Intern will support data validation, conduct analysis, create reports, visualize data, and document processes while collaborating with teams to provide data solutions.

The Lead BI Developer will provide actionable insights to drive revenue growth, standardize dashboards, and ensure data integrity across teams.

The Lead BI Manager delivers actionable business intelligence and strategic insights, enhancing revenue growth and ensuring data accuracy across digital properties.

Acquire, analyze and report client data; identify business intelligence needs; create data insights and visualizations; support data quality efforts.

Lead analyses to improve conversion and efficiency across the mortgage origination funnel; define success metrics, partner with Sales, Operations, Product and Engineering, produce actionable insights, and shape the analytics roadmap.

Lead hands-on analytics, build and maintain ARR forecasting models and KPI dashboards, automate repeatable reporting, validate data sources with enterprise teams, and deliver ad hoc scenario analysis to support strategic decisions across Finance, Sales, Marketing, Customer Success, and Product.

The BI Specialist will develop and maintain MicroStrategy reports and dashboards, analyze data, enhance BI environments, and train users.