Top Business Intelligence Jobs

Serve as a client-facing BI consultant translating wholesale data into insights for National Commercial and Dealer accounts. Design analytical frameworks, build and maintain Snowflake/SQL queries and reporting, deliver executive presentations, collaborate with Data Science and Engineering, drive BI infrastructure improvements, manage complex projects, integrate AI-assisted processes, and mentor junior analysts.

Gather and document business and system requirements, create functional and technical specifications, analyze data and reporting needs, and support system integrations. Participate in Agile delivery, facilitate stakeholder meetings, develop solution options, identify risks, and support acceptance testing. Assist with data warehouse and business intelligence enhancements, reporting tool deployments, knowledge transfer, issue resolution, and communication across IT and business teams.

Leads DePuy Synthes Supply Chain’s Data and AI strategy, demand prioritization, governance, roadmap, and portfolio delivery. Partners with business, IT, and global capability center teams to deliver data products, dashboards, predictive models, and AI solutions across planning, procurement, manufacturing, inventory, logistics, and customer service. Establishes data quality and value-realization frameworks, manages executive stakeholders, and develops data and analytics talent.

Leads DePuy Synthes’ corporate Data and AI strategy across ERP, HR, Legal, Procurement, Finance, and Corporate Affairs. Owns demand management, prioritization, governance, roadmaps, and delivery portfolios while coordinating global delivery teams. Oversees data products, dashboards, analytics, predictive models, and AI solutions; advances data governance, master data management, and data quality. Builds stakeholder alignment, tracks business value, and develops data and AI talent across a global matrixed organization.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Leads HPE’s global Sales decision sciences organization of approximately 100 professionals across business intelligence, reporting, data architecture, advanced analytics, and AI. The role establishes sales measurement frameworks, executive reporting, predictive and prescriptive decision support, reporting automation, data governance, and a trusted Sales Data Lake. It partners with IT, data governance, finance, marketing, and sales leadership to improve forecasting, seller productivity, business performance, and management decision-making while building a globally integrated analytics organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

Develops business intelligence solutions for Texas Medicaid data by designing and building SQL queries and results in Business Objects, using SQL Developer and Oracle to meet customer requirements.

Lead BI strategy and a team of BI Engineers and Analysts for Pharmacy Operations. Own analytics roadmap, build scalable data products, dashboards, ETL/ELT pipelines, and curated datasets. Partner with stakeholders to prioritize work, run deep-dive analyses, ensure data quality and governance, and drive adoption of analytics solutions.

Leads business development data, analytics, automation, and AI enablement strategy. Oversees teams responsible for reporting, dashboards, forecasting, data governance, data products, systems enablement, and AI readiness. Partners with senior leaders across BD, IT, Finance, and Digital Transformation to modernize processes, improve data quality, expand self-service analytics, and drive enterprise-wide, data-informed decision-making.

Lead the vision, design, and development of customer-facing business intelligence dashboards and analytics solutions. Partner with clients and internal stakeholders to demonstrate product value, revenue, retention, and performance. Collaborate with product and engineering teams to deliver secure, scalable reporting experiences while contributing to cross-functional projects, data analysis, and stakeholder presentations.

Deliver reporting and visualization services within a Managed Services model, focusing on BI reporting initiatives across various corporate functions.

The role involves designing, developing, and deploying reporting and visualization services for various Business Intelligence initiatives in a Managed Services model.

Lead BI strategy for workforce analytics: partner with HR, build self-service analytics, ensure data governance and quality, mentor BI team, monitor performance, and integrate BI tools with cloud platforms (Databricks preferred).

Lead hands-on analytics initiatives for Global Supply Chain using BI, ML/AI, and process improvements. Collaborate with stakeholders and IT to design, implement, and scale reporting, dashboards, POCs, and SOPs. Manage projects, train staff, and improve manufacturing data quality to drive operational performance.

Lead and build the Finance Business Intelligence function: set multi-year BI strategy, hire and develop engineers, data scientists, and analysts, deliver predictive models and AI-augmented finance analytics, establish governance and authoritative metrics, partner with Finance and CTO on tooling and data platform decisions, and operationalize intake and delivery for high-velocity, trusted finance intelligence.

Lead and build the Finance Business Intelligence function: set strategy, hire and grow a multidisciplinary data team, evolve reporting into predictive and AI-augmented analytics, govern finance data and metrics, partner with Finance leadership, and select the finance data stack and tools to deliver scalable, auditable, and trustworthy analytics and forecasting.

The Business Analyst/QA Tester will assist in identifying business trends, support IT projects, and contribute to software testing to ensure quality deliverables.

Lead Requirements Analyst responsible for managing business analysis, requirements elicitation, strategic development, and documentation for IT projects, particularly focusing on data warehousing and business intelligence.

The Lead Sr. Business System Analyst will lead requirements definition, data and systems analysis, and quality assurance while collaborating with stakeholders, particularly in the financial services industry.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

The Business Analyst will analyze financial data, create business requirements, and contribute to various projects within the team, requiring strong data warehouse and banking experience.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

Perform independent healthcare analytics projects for clients using statistical tools, predictive modeling, BI reporting, and data visualization. Build reports and analyses with R/SAS/SPSS and BI tools (Cognos, Business Objects). Maintain client relationships and report to a Senior Consultant.