Top Business Intelligence Jobs

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.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

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.

Lead a BI team to design, build, and govern scalable analytics solutions. Manage front/back-end BI delivery, stakeholder engagement, architecture discussions, DevOps/CI-CD, data governance, and cross-functional teams while mentoring developers and ensuring compliance with AbbVie policies.

The BI Analyst/Programmer at Howmet Aerospace will develop data analytics tools and applications, particularly using SQL, to enhance business processes in manufacturing. Responsibilities include programming, user support, and continuous learning and development aligned with technology changes.

Design and build BI solutions and dashboards to surface KPIs and drive decisions. Partner with stakeholders to define metrics, extract and model data (SQL/Python), automate reporting, validate data quality, and provide ad-hoc analysis and predictive insights to leadership.

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.

Maintain and configure the Risk Management Information System (RMIS); perform data conversion, mapping, cleanup, testing, and reporting; design dashboards and reports; gather requirements, document solutions, train users, mentor colleagues, and identify process improvements.

Design and maintain Databricks-based data pipelines, prepare and model structured/unstructured data, and develop user-centered dashboards (Tableau/Power BI/Qlik). Engage stakeholders to gather requirements, deliver embedded rapid-turn analysis, perform QA, and document analytic workflows to support government mission objectives and decision-making.

Build and maintain KPI reporting and dashboards for wallet, loyalty, and remittance performance across markets. Produce recurring and ad-hoc analyses (SQL, Sheets, BI tools), surface underperformance signals, support root-cause analysis, and translate findings into operational recommendations. Partner with Product Ops and data engineering to formalize recurring analyses and support GTM readiness metrics. Monitor industry trends and provide executive-level reporting used by the Director to brief the COO and exec team.

Designs, develops, and maintains BI data models, reports, dashboards and visualizations. Extracts and transforms ERP transactional data, coordinates QVD file creation, meets stakeholders to gather requirements, and implements best practices for data accuracy, security, and self-service analytics. Uses SQL, BI tools, Python or Excel/VBA to drive business insights and operational efficiencies.

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.

Lead complex BI analysis and reporting for lending, creating dashboards and visualizations, synthesizing multi-source data into actionable insights, forecasting and root-cause analysis, mentoring junior analysts, and managing medium-to-large analytics projects to inform executive decision-making.

Design, develop, and maintain dashboards and reports; analyze complex datasets to identify trends and opportunities; write and optimize SQL queries; ensure data quality and validation; partner with stakeholders to translate business needs into analytics solutions and communicate insights to technical and non-technical audiences.

Design, develop, and deliver enterprise BI solutions and dashboards using Power BI and Azure. Integrate data from Policy, Claims, Billing, Agency systems and third parties, build semantic/data models, implement RLS, optimize queries, ensure governance, data quality, and support analytics for Claims, Underwriting, Finance, and Operations.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Design, build, and maintain Power BI semantic models, reports, and dashboards; migrate Qlik Sense to Power BI; perform pricing and margin analytics; extract and model ERP and transactional data; support governance, data quality, and stakeholder decision-making.

Consult with stakeholders to gather requirements and design BI solutions. Develop, deploy, monitor, and support BI/EDW systems. Define KPIs, build dynamic dashboards and reports, perform data validation and QA, and maintain data integration, architecture, and security. Use Agile practices and educate users on BI capabilities.

Design, develop, and maintain enterprise analytics solutions using Microsoft Fabric and Power BI. Build semantic models, data pipelines, and reporting datasets; optimize SQL transformations; support deployments, governance, security, and self-service reporting across business functions.

Own and build end-to-end BI data products: design data models, validate data, create dashboards from ticketing, fundraising, and marketing sources, onboard and partner with clients, and drive analytics-led insights.

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.

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.