Top Business Intelligence Jobs

Develops and supports enterprise reports, dashboards, and data stores from multiple sources. Responsibilities include gathering requirements, translating specifications, creating SQL and BI data sources, developing reports with Power BI, SSRS, Tableau, and related tools, testing, performance optimization, production support, training, process improvement, and mentoring. Partners with business, data integration engineers, and architects while applying Agile practices and advancing BI technology standards.

Designs and develops analytic applications and reporting tools across BI platforms. Gathers requirements, codes complex systems, performs testing and defect fixes, mentors peers, manages small projects, integrates with IT teams, and provides training and BI subject-matter expertise.

Designs and maintains enterprise Tableau dashboards, scorecards, reports, data sources, and analytical solutions. Writes complex SQL queries, develops data models, validates data accuracy, troubleshoots reporting issues, and transforms data into actionable business insights. Partners with stakeholders, data engineers, and leadership to define KPIs and reporting requirements, supports ad hoc analysis, documents and trains users, mentors team members, and improves dashboard performance, data quality, and reporting governance.

Designs, develops, and supports enterprise business intelligence solutions, including ETL/ELT processes, dimensional data models, SQL database objects, reports, dashboards, and analytic applications. Translates business requirements into technical reporting solutions, monitors data quality and access controls, troubleshoots data and BI issues, maintains documentation, and supports deployments, upgrades, and users across academic, administrative, and clinical functions.

Develops Power BI semantic models, dashboards, paginated reports, and KPIs for client engagements. Builds DAX, Power Query, SQL, SSIS, SSRS, and SSAS solutions; maintains ETL processes, validates data, tunes performance, supports UAT, gathers requirements, and presents solutions to stakeholders. Produces technical documentation and manages deliverables across concurrent consulting projects in an on-site, client-facing environment.

Designs and develops complex BI reports and dashboards, implements business rules, defines KPIs and governed data sources, performs statistical modeling and ad hoc analysis, coordinates with IT and embedded analysts to deliver analytics solutions for partners, legal staff, and firm management.

Designs, develops, tests, deploys, and sustains enterprise Power BI dashboards, semantic models, Power Apps, and Power Automate workflows. Translates requirements into analytics and application solutions, supports testing and UAT, troubleshoots production issues, maintains traceability and release documentation, and collaborates with data engineering and architecture teams. Provides stakeholder support and technical training while supporting Air National Guard CDAO mission requirements.

Develop and deploy business intelligence solutions, dashboards, data structures, and visualizations using Tableau and Power BI. Partner with sales, finance, IT, and business stakeholders to turn complex data into actionable insights, enable self-service analytics, consolidate data, and establish analytics standards. Present findings to senior leadership, support forecasting and planning processes, train business teams, and provide ongoing analytics support.

Manage enterprise BI and analytics platforms, data governance, access controls, and self-service reporting. Translate business requirements into governed dashboards, KPIs, metrics, and actionable insights using Power BI, Tableau, Azure, SQL, and multiple database technologies. Ensure data quality, platform scalability, business continuity, cost efficiency, and secure information delivery. Partner with business and technology stakeholders, lead process improvements, resolve complex issues, and mentor data professionals.

Produce financial and market intelligence through data queries, reports, deep-dive analysis, dashboards, and data visualizations. Translate business objectives into technical requirements, identify trends and anomalies, document data provenance and ETL logic, and communicate actionable recommendations. Lead dashboard and insight-tool development, maintain data models and reporting ecosystems, support data integrity, and mentor associates while collaborating cross-functionally with stakeholders and global teams.

Design, develop, test, and operate large-scale BI solutions (reports, dashboards, data models) using Power BI and Azure Synapse. Gather requirements, translate business needs into data models, tune performance, collaborate with BI architects on POCs, and maintain stakeholder communication.

Architect, design, develop, and maintain Microsoft BI solutions and data warehouse components. Build ETL, data marts, reports, dashboards, and analytics; partner with business teams, resolve data quality issues, and mentor BI team members.

Work independently on healthcare analytics projects, building BI reports and statistical models. Use R, SAS, SPSS for predictive modeling and advanced analytics, create data visualizations, and develop business intelligence outputs with Cognos and Business Objects. Maintain client relationships and report to the Senior Consultant.

Provide healthcare analytics and BI support as an independent consultant: perform statistical analysis, predictive modeling, business reporting, and data visualization using tools like R, SAS, SPSS, Cognos, and Business Objects. Maintain client relationships and report to the Senior Consultant.

The Sr. Business Intelligence Engineer leads BI development, governs Power BI architecture, mentors developers, and ensures reliable reporting and documentation, while managing metrics and improving automation.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

Develop and maintain dashboards, reports, and KPIs; perform data analysis to identify trends and root causes; write and tune SQL; partner with stakeholders to translate requirements into analytics solutions and support ad-hoc reporting.

The Business Intelligence Manager leads BI strategy, product delivery, stakeholder engagement, and team development to enhance data-driven decision-making across the organization.

Lead a small product analytics team to drive data-informed product decisions for Higher Education courseware. Define KPIs across commercial and learning outcomes, own instrumentation and telemetry, scale experimentation (A/B tests), surface discovery insights, govern data quality, and communicate findings to executives. Partner with product, design, and engineering to embed analytics as a product capability.

Lead a Business Intelligence team to design data integration, reporting, and dashboards (Power BI/Tableau/Datorama); deliver actionable marketing insights; manage stakeholders, vendors, and legal/compliance interactions; oversee data warehousing, ETL, QA, and project delivery; mentor analysts and drive commercialization and go-to-market for analytics initiatives.

Owns revenue analytics infrastructure, including dashboards, tracking systems, forecasting models, and performance evaluation for RPD/RPU, utilization, and segment targets. Monitors macroeconomic and industry trends, supports pricing and revenue strategy, maintains the data stack, and delivers executive-ready recommendations. The role also manages a small analyst team and supports go-to-market measurement and post-launch evaluation.

Build and maintain BI dashboards, reporting products, trusted datasets, and scalable analytics models using Snowflake and dbt. Develop semantic models, implement KPIs, optimize SQL and reporting performance, validate data quality, and support self-service and executive reporting. Partner with cross-functional teams, improve analytics engineering practices, use AI-assisted development tools, troubleshoot reporting issues, and mentor junior analysts and engineers.

Leads the firm’s business intelligence function and manages two BI professionals while remaining hands-on. The role owns reporting prioritization, modernizes SSRS reports to Power BI and Microsoft Fabric, rationalizes the report portfolio, standardizes data models, and pilots AI-assisted reporting. Responsibilities include building Power BI reports and datasets, optimizing SQL queries, maintaining availability and accuracy, supporting financial reporting from Elite 3E data, establishing governance, and partnering with technical and business stakeholders.

Lead BI, management routines, and strategic planning for Digital Banking, Consumer Deposits and U.S. Payments. Build insight-driven capabilities, executive dashboards, performance frameworks, and strategic plans. Translate data, market and financial analysis into actionable recommendations, partner with cross-functional teams to improve data quality and reporting, oversee initiative prioritization, and manage a team delivering recurring BI, reporting, and decision-support to drive growth, efficiency and risk management.

Design, maintain, and upgrade Power BI content; partner with stakeholders to define metrics; build underwriting and profitability alerts; automate finance analyses; troubleshoot data warehouse issues and coordinate IT solutions.