Top Business Intelligence Jobs

Leads global Marketplace Seller Acquisition strategy, business intelligence, analytics, AI transformation, and sales enablement. Builds scalable KPIs, dashboards, operating mechanisms, segmentation frameworks, forecasting tools, and executive reporting to improve seller growth and sales productivity. Influences senior leadership and collaborates across Sales, Product, Technology, Data Science, Finance, and international teams. Develops high-performing teams and establishes globally consistent decision-making and performance-management practices.

Develops business intelligence and analytics solutions, including reports, dashboards, data marts, metadata layers, and decision-support applications. Analyzes data needs, designs dimensional and relational models, evaluates BI technologies, creates architecture documentation, and supports production troubleshooting. Partners with business and IT teams, manages small to midsize project scopes, establishes development standards, and mentors BI and analytics staff on tools, design practices, and data modeling.

Defines business intelligence and analytics requirements, including report, dashboard, data asset, and data resource specifications. Conducts stakeholder interviews, performs needs assessments, supports data and metadata management, creates process and data flow diagrams, trains users on BI tools, and assists with project coordination. Collaborates with IT teams on systems, architecture, estimates, planning, and non-functional requirements while managing small to midsize projects through delivery.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

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.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI reporting and data visualization. Works client-facing on projects using R, SAS, SPSS, Cognos and Business Objects, reporting to the Senior Consultant and delivering actionable insights for healthcare clients.

Work independently as a healthcare analytics consultant delivering statistical analysis, predictive modeling, BI reporting, and data visualization for clients. Use R, SAS, SPSS, Cognos, and Business Objects to build insights and reports. Report to the Senior Consultant and maintain strong client relationships.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI/reporting, and data visualization. Use R, SAS, SPSS, Cognos, and Business Objects to deliver insights and maintain client relationships. Report to the Senior Consultant.

Contribute to design, development, and maintenance of HR workforce dashboards and reports; respond to ad-hoc and executive requests; ensure data quality, governance, and integration with cloud data platforms; enable self-service analytics; and support agile delivery and legacy BI product stability.

Design, develop, and maintain BI information models, dashboards, metrics, and reports. Translate stakeholder requirements into technical analytics solutions using SQL and programming, document metric logic, ensure data quality, and support troubleshooting and enhancements to drive operational and strategic decisions.

Leads the bank’s enterprise data and analytics strategy, governance framework, reporting standards, data quality program, and analytics prioritization. Establishes trusted metrics, dashboards, semantic models, controls, and examiner-ready documentation. Partners with executives, risk, compliance, audit, information security, and technology teams to support decision-making and regulatory requirements. Leads a team of data professionals and provides matrix leadership to business data owners and stewards.

Performs testing, development, troubleshooting, and documentation for data warehouses, data marts, BI environments, reports, and analytics applications. Translates business requirements into technical solutions, applies metadata expertise, validates data accuracy, and interprets integrated reports. Collaborates with analysts and associates on data management strategies while supporting multiple projects and maintaining customer-focused communication.

Develops and supports business intelligence applications, reports, data warehouse solutions, and SQL queries. Responsibilities include requirements analysis, coding, testing, performance tuning, data discovery, source-system connectivity, implementation planning, and technical documentation. The role serves as a BI subject matter expert, mentors team members, manages small projects, and collaborates with cross-functional technology and business teams.

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 HR workforce dashboards, reports, and curated datasets; respond to ad hoc analyses; improve legacy BI, ensure data quality and governance; integrate BI with cloud platforms and support self-service analytics and agile delivery.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Lead end-to-end business analysis for data and technology projects: elicit requirements, create BRDs/functional specs/user stories, map processes, profile source data with SQL, build source-to-target mappings and documentation, support agile delivery and UAT, coordinate stakeholders, and present actionable recommendations to clients.

The Business Intelligence Analyst will manage a team to develop and report cost data, oversee BI strategy, and drive analytics solutions across the organization, ensuring alignment with business requirements and technical standards.

Support Voice of the Customer initiatives and analyze customer feedback from surveys, reviews, and complaints. Maintain CX reporting, manage projects and third-party survey vendors, implement process and technology improvements, coordinate training, present findings to management, and participate in management development.

The Senior Director leads the development of reporting and analytics for clinical operations, integrating data for decision-making and optimizing resources using advanced analytics and AI.

Looking for a Senior Business Analyst to gather requirements, collaborate with technical teams, and lead testing efforts, ensuring documentation and relationships are maintained with business teams.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

As a Senior Business Intelligence Engineer, you will design and maintain reporting solutions, architect ETL pipelines, and implement AI use cases while collaborating with stakeholders across various business units.