Top Senior Business Intelligence Jobs

Design and govern enterprise semantic models in Microsoft Fabric and Power BI, author complex DAX and queries, enable NLQ/Copilot and AI integrations, coach report developers, lead stakeholder requirements, and implement governance, performance optimization, security, and AI-readiness across reporting domains.

Build and maintain Azure-based reporting semantic layers and dashboards, translate report specs into production-ready SQL views and aggregates, validate outputs against ERP source data, coordinate with offshore BI engineers, support UAT and post-launch hypercare, and work within Azure DevOps CI/CD pipelines to deploy reporting artifacts.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Build end-to-end data products and scalable data models for Ford Customer Service. Translate user needs into data requirements, lead analysis, integrate heterogeneous sources, implement governance and privacy controls (CCPA/GDPR), and deliver dashboards and BI solutions using BigQuery, Informatica, Cognos/QlikView to support decision-making and dealer/customer outcomes.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Serve as a liaison between business stakeholders and technical teams to define BI/reporting/analytics requirements, translate business needs into user stories and specifications, analyze ERP and enterprise data, validate data integrity, support Agile delivery and UAT, and document processes, KPIs, and integration requirements to deliver measurable BI solutions across supply chain, manufacturing, finance, and related domains.

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.

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.

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.

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.

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.

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.

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.

Design and build Power BI solutions: analyze data environments, convert WebFOCUS/mainframe queries to T-SQL, create dataflows, views and stored procedures, develop dashboards and paginated reports, administer Power BI workspace, analyze financial data, automate ETL to reduce Excel reliance, and train comptroller staff.