Top Business Intelligence Jobs

Support and maintain BI applications, troubleshoot issues, analyze user requirements to recommend reporting or application solutions, and design, build, test, and maintain reporting and data solutions.

Design, develop, and support enterprise BI applications, dashboards, and reports. Integrate BI platforms with data warehouses and enterprise systems, troubleshoot production issues, analyze data quality and performance, and mentor junior engineers. Collaborate with stakeholders to gather requirements and ensure maintainable, well-documented code and on-time delivery.

Support and develop BI platforms, dashboards, ETL, and data integration. Produce analytics, KPIs, forecasts, and reports for senior leadership. Manage KM and BI projects, implement process improvements, and present findings to command.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Lead strategy, integration, and operations for the enterprise BI and data platform. Oversee ingestion, ETL, modeling, reporting, Snowflake integration, BI tool management (Business Objects, Tableau, Power BI), data governance, platform performance, and a team of data engineers and analysts to enable self-service analytics and modernization.

Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.

Support business units across Fuel & Energy by building and maintaining Power BI reports and data models, performing SQL-based analysis, curating datasets/dataflows, conducting UAT, documenting reports, and communicating findings to stakeholders to drive pricing, wholesale, and fuel accounting decisions.

Lead administration and architecture of enterprise BI platforms (Looker, Quicksight, Power BI). Build automation, CI/CD pipelines, data models and ETL, integrate tooling and SSO, monitor platform health, mentor team members, and provide production/on-call support for large-scale BI environments.

Lead BI Developer responsible for designing, developing, and supporting enterprise QlikView solutions. Translate business requirements into scalable data models, load scripts, QVD layers, and high-performance dashboards. Manage deployment via QMC, implement section access, perform code reviews, mentor junior developers, and own Jira stories through the Scrum lifecycle.

Design, develop, and deploy Power BI reporting and analytics on Snowflake. Migrate OBIEE reports to Power BI, build data models and ETL/ELT pipelines, write DAX and SQL, optimize report performance, ensure data quality, and support stakeholders with documentation and ongoing support.

Lead and define Canary's analytics function: own analytics strategy, platform architecture, data pipelines, dashboards, KPIs, and governance. Enable self-serve analytics, deliver insights to leadership and cross-functional teams, and work directly with enterprise customers on reporting and integrations.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

The Senior Epic Business Intelligence Developer is responsible for creating, maintaining, and updating Epic reporting content, translating data needs into BI solutions, and training end users on data interpretation.

Lead CT's BI function by maintaining KPI dashboards and data infrastructure, delivering MBR/QBR metrics and financial analysis, building cost and demand forecasting models, partnering across data, engineering, and operations, and tracking AI automation impact to inform leadership decisions and vendor staffing.

Design, develop, and maintain Power BI dashboards and visualizations; integrate and model data from approved sources using Power Query and DAX; validate data accuracy, troubleshoot refresh/performance issues, document datasets and report logic, and provide user support and training in a governed enterprise environment.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.

Lead the creation and scaling of a centralized Power BI function across multiple divisions. Establish governance, semantic models, security, release management, and standards. Build and lead a BI team, design complex row-level security, combine cross-division datasets, and deliver certified, performant Power BI reports and data products while partnering with stakeholders and maintaining hands-on architecture and development.

Lead SAP BI/BW implementations: gather requirements, design/configure BW solutions, develop interfaces, ABAP development and performance analysis, maintain reporting environment, provide end-user support, documentation, training, and system administration for SAP financial areas.

Design, develop, and optimize Power BI reports and paginated reports. Translate stakeholder requirements into wireframes and technical specs, write complex DAX and Power Query transformations, validate data with SQL, implement row-level security, follow governance and version control, participate in Agile ceremonies, and progress reports through development lifecycles across environments.

Lead business intelligence and growth for Transactions & Strategic Situations: develop growth strategy, build analytics and BI solutions, create BD and marketing assets, advise leadership, coordinate initiatives, and leverage AI and emerging tech to drive revenue and operational discipline.

Lead design, development, and maintenance of BI solutions (dashboards, reports, datasets). Partner with product, actuarial, underwriting to source and validate data. Automate reporting, perform audits/reconciliations, communicate findings to stakeholders, and mentor analysts. Act as Power BI SME and apply AI tools to accelerate development, code generation, automation, and QA.

Partner with research and operational stakeholders to translate ambiguous questions into scalable analytical solutions. Build and maintain Power BI dashboards and reports, use advanced SQL to extract and transform data, develop metrics/KPIs, analyze large datasets, ensure data quality with engineering teams, and present findings to technical and non-technical audiences.

Own and build Power BI reports and client-facing intelligence products within Microsoft Fabric. Develop DAX measures, campaign pacing and budget alerting, monitor contact data health and data delivery pipelines, transition vendor-built platforms in-house, and partner with IT/Data Engineering and cross-functional teams to ensure reliable, actionable reporting for Digital leadership and clients.

Lead design, development, and administration of enterprise Power BI solutions and Azure-based data pipelines. Build semantic models, dashboards, KPIs, and advanced analytics (forecasting, segmentation, predictive models). Optimize T-SQL, DAX, and ETL/ELT processes, enforce data governance and RLS, mentor teams, and partner with executives and stakeholders to translate business goals into scalable BI solutions.

Serve as analytics partner to SIU and Payment Integrity teams to develop dashboards, financial and operational reports, analyze healthcare claims, design statistically valid sampling for audits, support investigations and recoveries, improve data quality, and communicate insights to leadership to drive savings and efficiency.