Top Business Intelligence Jobs

Lead analysis of business systems and user needs, perform process reengineering, document functional/technical specifications, design reporting and data-warehouse solutions, develop test cases, support CRM/ERP and enterprise document management implementations, and work within Agile teams to deliver enterprise reporting and BI solutions.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.

The role involves monitoring and improving customer experience on Walmart.com using Tealeaf, project managing initiatives, and analyzing data to inform business decisions.

Designs and delivers business intelligence solutions supporting quality, compliance, and operational processes. Translates clinical and operational requirements into technical specifications, builds datasets from EHR reporting databases using advanced SQL and visualization best practices, validates data, performs root-cause analysis, resolves reporting issues, and supports junior team members through knowledge sharing.

Architects and delivers enterprise BI and data product ecosystems, translating ambiguous business needs into full-stack analytics solutions. Owns architecture, performance optimization, database and data warehouse design, and application UX architecture. Builds data marts, solves complex cross-system problems, advises leadership, and mentors engineers. Requires expert SQL, ETL, data modeling, Tableau, Power BI, Microsoft BI stack, DevOps, CI/CD, and analytics architecture expertise.

Designs, develops, and owns business intelligence dashboards, visualizations, analyses, and reporting solutions, primarily in TIBCO Spotfire and also Power BI. Responsibilities include data modeling, calculations, performance tuning, deployment workflows through GitHub, data quality collaboration, BI standards, risk identification, mentoring, and independent decision-making across a multi-tenant Life Sciences data platform.

Lead Epic Cogito, Caboodle, and Clarity data migration from on-premises environments to Azure cloud. Validate data integrity, reporting parity, and performance; build and optimize SQL reports and dashboards using Epic reporting tools; translate requirements into cloud architecture and workflow decisions; manage migration risks, documentation, runbooks, status reporting, and knowledge transfer; and mentor customer teams throughout implementation.

Process and analyze datasets, develop and maintain Power BI and Cognos reports and dashboards, troubleshoot data issues, collaborate with stakeholders and technical teams, and document reporting processes. The intern will support business intelligence needs while pursuing a related college degree and working full-time in summer and part-time during the school year.

Leads enterprise business intelligence development, translating stakeholder goals into scalable dashboards, reports, KPIs, and analytics. Partners with data engineering, mentors developers, leads medium-sized projects, supports QA and production applications, researches system issues, and contributes to BI architecture, roadmap planning, user education, and stakeholder prioritization. The role includes rotational after-hours on-call support and minimal travel.

Leads business intelligence projects supporting credit risk, portfolio monitoring, stress testing, forecasting, and profitability analysis. Translates stakeholder needs into requirements, solution designs, dashboards, reports, and predictive analytical tools. Develops queries and models, validates data quality, supports data governance, troubleshoots data issues, and helps business partners use Power BI, Azure, and enterprise data environments. Maintains documentation for management, regulators, and auditors while monitoring data builds and implementations.

Leads HubSpot CRM implementation, governance, optimization, integrations, data migration, and user adoption. Develops business intelligence strategies, dashboards, reports, and actionable insights for sales, marketing, and executives. Drives sales enablement through training, documentation, change management, and performance reporting. Partners with marketing on campaigns, segmentation, event tracking, and ROI measurement while identifying automation, AI, and process-improvement opportunities.

Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.

Work with Treasury and BI teams to document current and future requirements, review BI tools, conduct requirement walkthroughs, perform system integration testing, and support UAT for BI/data warehouse solutions.

Design and develop data warehouse and BI solutions, perform data modeling, gather and facilitate requirements, assess end-user needs, recommend solutions, manage implementation projects, and produce reporting solutions using tools like Workday, Cognos, and PeopleSoft. Contract role onsite in Madison for 12–18 months.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Leads end-to-end ETL processes, develops Power BI dashboards, and uses SQL and BigQuery to deliver business insights. Partners with stakeholders and executives to support strategic decision-making, communicates complex findings clearly, and mentors analysts on data analysis, ETL, and dashboard development best practices.

Develop BI and data visualization solutions for government health coverage programs. Analyze data, identify anomalies, ensure data quality, create dashboards and ad hoc reports, and build reusable models and templates. Support data integration, ETL processes, automation, database applications, and reporting lifecycle discipline. Translate business requirements into dashboard and reporting specifications while maintaining documentation, standards, and processes in a complex matrix organization.

Leads business intelligence strategy, operational reporting, dashboard development, analytics, metric governance, secure reporting, and BI modernization. Translates stakeholder needs into reporting products; manages report inventory, rationalization, validation, testing, user acceptance, data quality, production support, and automated decision-support reporting. The role supports acquisition, contracting, financial, and enterprise mission systems while modernizing legacy capabilities using Appian and shared IL5/IL6 codebases.

Leads enterprise reporting and performance analytics across content, advertising, and affiliate businesses. Builds executive dashboards in Domo, validates KPIs against Looker models, conducts root-cause and monetization analyses, automates reporting workflows, and standardizes measurement practices. Manages and mentors BI analysts, partners with engineering and IT teams, and communicates actionable insights during executive performance reviews.

Builds and maintains Power BI dashboards, semantic models, dataflows, scorecards, and recurring reports. Translates business requirements into governed metrics and reporting solutions, manages BI workspaces, security, refreshes, lineage, and performance, and partners with ERP stakeholders and business owners. Analyzes trends, validates and standardizes data, documents reporting assets, supports user acceptance testing, and delivers executive insights across operational, financial, manufacturing, supply chain, and enterprise processes.

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Executes business intelligence and process analysis for an Enterprise Knowledge Management program supporting a U.S. Combatant Command. Maps workflows, identifies information exchange requirements and operational gaps, develops process documentation and user procedures, builds Power BI dashboards, measures process improvement and user adoption, and delivers actionable recommendations through stakeholder interviews, workshops, and data analysis. The role operates across unclassified and classified networks and supports continuous improvement using Lean, Six Sigma, Kaizen, and Agile practices.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Build and enhance business intelligence capabilities through data modeling, reporting, automated data quality tests, and collaboration with data engineering teams. Integrate disparate data sources into warehouse models, support data access and reporting, educate stakeholders on data products, and develop campaign KPIs for clients. The role requires strong SQL, analytics experience, and familiarity with cloud data warehouses, with preferred experience in Python, BI tools, Git, query engines, and dbt.

Support ATM network strategy through business intelligence, dashboards, KPI and failure analysis, demographic and geographic insights, profitability modeling, benchmarking, and cost optimization. Translate transactional and member data into strategic recommendations for ATM placement, fleet efficiency, maintenance, upgrades, and operational improvements. Coordinate mobile ATM activities and disaster-relief deployments while presenting concise findings to stakeholders and leadership.