Top Senior Business Intelligence Jobs

The role focuses on BI data modeling and architecture, involving 80% hands-on SQL development and 20% design analysis, mainly using Oracle and SQL technologies.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

The Business Intelligence Architect leads BI solutions, analyzes requirements, implements BI applications, and collaborates with remote teams and vendors.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

The Power BI Architect will lead data architecture and design solutions for finance and supply chain analytics, ensuring integration and accurate reporting across systems.

Develop and manage Tableau and Sigma dashboards and reports, mentor analytics teams, ensure compliance, and provide BI support.

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.

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.

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.

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.

The Power BI Analyst develops and maintains dashboards for decision-making and performance reporting at CBP's Network Operations Center. Key duties include designing dashboards, integrating data, ensuring accuracy, and conducting analytics.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

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 end-to-end delivery of BI reporting solutions across NIQ data sources, analyze data to surface trends, consult with clients on BI tool usage, identify and nurture BI leads, optimize reporting processes, collaborate on product development, manage projects independently, and support cross-functional BI initiatives and customer engagements.

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.

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.

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.

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.