Top Business Intelligence Jobs

Build and maintain enterprise BI dashboards, data models, reporting layers, data quality metrics, and governance reporting for USDA human capital systems. Translate stakeholder requirements into scalable BI products, support Databricks Lakehouse architecture and migration, manage metadata and data lineage, develop validation scripts, coordinate user acceptance testing, and ensure data quality, security, and governance compliance.

Develops and maintains enterprise Power BI reports, dashboards, semantic models, and datasets using Databricks data. Partners with business stakeholders and data engineers to gather requirements, design scalable data models, create DAX measures, test reporting solutions, resolve data discrepancies, and deliver actionable insights. The role also documents BI solutions, supports data architecture improvements, and leads cross-functional teams through complex data challenges.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Develops BI models, dashboards, reports, predictive analyses, and visualizations for Navy leadership assessment programs. Analyzes large datasets, identifies trends, supports executive decision-making, maintains data systems, prepares quarterly performance reports, and coordinates with stakeholders. The role also supervises an administrative assistant and may moderate milestone interviews.

Develop and maintain business intelligence solutions, including data models, reports, queries, dashboards, datasets, and transformations. Extract and integrate data from SAP and PeopleSoft Campus Solutions, analyze business processes and source systems, and translate stakeholder needs into reporting solutions. Responsibilities include solution design, testing, troubleshooting, documentation, data governance, performance optimization, and support for institutional financial, student, operational, and strategic reporting.

Develop and maintain Power BI dashboards, reports, data models, KPIs, and executive scorecards using SQL and healthcare claims data. Analyze trends, anomalies, savings opportunities, compliance risks, and Payment Integrity performance. Partner with business, compliance, clinical, and technology stakeholders to translate requirements into scalable regulatory and operational analytics solutions. Ensure data quality, governance, and reporting consistency while supporting forecasting, root cause analysis, and AI-enabled analytics initiatives.

Designs, develops, and supports enterprise business intelligence solutions using Power BI and Qlik. Creates scalable dashboards, reports, and analytics to support business decisions; gathers stakeholder requirements; translates business needs into technical solutions; and maintains BI environments for performance, reliability, and data quality. The role may also apply AI-enabled analytics such as natural-language querying, anomaly detection, and automated reporting.

Creates reports, data extracts, analyses, data processes, and business intelligence solutions. Builds and documents code for transforming, aggregating, and presenting data; learns organizational data sources and flows; communicates with colleagues; and participates in training. The role requires a technical bachelor's degree, strong mathematics and statistics skills, experience with SQL or programming/database languages, dashboarding tools, and Excel proficiency.

Build and maintain financial data pipelines from Oracle Fusion Cloud, transform and validate reporting datasets, and develop Tableau dashboards. Translate Finance and Accounting requirements into technical specifications, ensure consistent metrics and data quality, document lineage and data dictionaries, support audits and forecasting, and provide ad hoc analysis. Partner with Finance, Accounting, and Technology teams while improving automation and training users on self-service reporting tools.

Design, develop, and optimize Power BI dashboards and reports for Navy ERP governance. Automate reporting processes, ensure data integrity, and provide user training.

Deliver reporting and visualization services within a Managed Services model, focusing on BI reporting initiatives across various corporate functions.

The role involves designing, developing, and deploying reporting and visualization services for various Business Intelligence initiatives in a Managed Services model.

Design, develop, and maintain enterprise BI solutions, semantic models, reports, and dashboards. Analyze and profile data, optimize performance, provide production support, and collaborate with IT and business stakeholders to migrate analytics to cloud platforms, enforce BI standards, and promote adoption of self-service analytics.

Build, test, validate, revise, and migrate more than 50 BI reports during a reporting modernization initiative. The analyst will validate SQL-based outputs in Azure SQL and Azure Synapse, reconcile migrated reports with legacy results and source data, investigate discrepancies, and collaborate with business, engineering, architecture, and reporting stakeholders. The role requires strong data-validation skills, stakeholder communication, and independent ownership of reporting deliverables.

Lead the BI team and define a two-year strategy for certified Looker dashboards, governed metrics, self-service analytics, and AI-generated summaries. Manage 2–3 BI professionals, oversee the end-to-end dashboard lifecycle, establish semantic-layer requirements and data-quality standards, drive adoption, and partner with Product, Operations, Finance, Marketing, and Sales leaders. The role also requires hands-on Looker development, SQL, stakeholder influence, and cross-functional delivery.

Build Qlik Sense data models, dashboards, visualizations, and analytics applications for the National Guard’s enterprise data environment. Analyze structured and unstructured data to identify trends and actionable insights, ensure data integrity and system performance, enhance BI standards, and collaborate with cross-functional teams. The role requires onsite work in Arlington, VA one to two days weekly, an active Secret clearance, and U.S. citizenship.

Leads enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, and predictive analytics. Partners with executives and cross-functional leaders to drive revenue, profitability, customer engagement, product innovation, and operational performance through actionable insights and improved reporting infrastructure.

Leads the enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, predictive analytics, and AI-driven automation. Advises executive leadership and partners cross-functionally to improve revenue, profitability, customer retention, product adoption, and operational performance. Establishes reporting standards, data architecture roadmaps, and scalable self-service analytics capabilities.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

The Business Analyst/QA Tester will assist in identifying business trends, support IT projects, and contribute to software testing to ensure quality deliverables.

Lead Requirements Analyst responsible for managing business analysis, requirements elicitation, strategic development, and documentation for IT projects, particularly focusing on data warehousing and business intelligence.

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.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

The Business Analyst will analyze financial data, create business requirements, and contribute to various projects within the team, requiring strong data warehouse and banking experience.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.