Top Business Intelligence Jobs

Lead and administer enterprise BI platforms (Looker, QuickSight, Power BI); design architectures, automate admin tasks and CI/CD with Jenkins, Git and APIs; build ETL/data models (Kimball), integrate with databases (Snowflake, Oracle, DB2, SQL Server), implement SSO/security (AD, Azure AD, PingFederate, OAuth/SAML), monitor platform health, train users, provide on-call production support, and mentor the team.

Lead a team of six analysts to own BI strategy, data governance, reporting roadmap, and automation. Build dashboards, self-service analytics, and cloud data pipelines (Databricks/Snowflake). Partner with Sales, Talent, and Operations to define KPIs, improve data quality, streamline systems, and deliver actionable sales and operational insights.

The Manager of Business Intelligence leads BI initiatives, manages a team of analysts, oversees project delivery, ensures data quality, and drives data-driven decision making across the organization.

Lead the design and implementation of SAP Analytics Cloud and Business Intelligence solutions. Manage multiple projects, enforce best practices, and ensure effective collaboration across teams.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

Lead development and implementation of finance analytics and COGS reporting. Build scalable data solutions, cost models, and dashboards; collaborate cross-functionally with finance, production, supply chain, and engineering to improve cost visibility, processes, and decision-making. Own end-to-end BI deliverables and influence adoption of robust cost data and analytics.

Lead BI and insights function, manage a data analyst, build dashboards and reports, maintain category and retailer data structures, ensure data quality and automation, analyze retailer/shopper/category performance, and present actionable recommendations to customers and internal stakeholders to support growth and strategic planning.

Design and deliver end-to-end BI architecture, dashboards, self-service reporting, and predictive analytics. Integrate analytics into the CMM application, enforce data governance, ensure performance SLAs, support AI/ML solutions, and collaborate with stakeholders to translate business requirements into scalable reporting and metadata processes within a regulated environment.

Design, develop, and maintain BI dashboards, self-service reporting, and predictive analytics for a cloud-based federal case management program. Translate business requirements into technical designs, implement SQL/data transformations, ensure governance and compliance, support AI/ML capabilities, and drive adoption and performance of analytics solutions.

Lead analytics and BI for Digital Product Operations: define product and adoption metrics, build dashboards, ensure data governance and quality, measure ProdOps effectiveness, coach PM/POs, diagnose adoption gaps, and drive interventions that improve product planning and delivery.

Lead Tilt's Business Intelligence function end-to-end: manage a distributed BI team, own reporting data models and semantic layer, build and maintain a metric-and-metadata library with reference SQL, review dbt work and hold quality through code review, prioritize stakeholder requests, and grow team technical and business fluency.

Design, build, and maintain enterprise BI solutions (Strategy/MicroStrategy) in a cloud data warehouse environment. Partner with business and data architecture teams to deliver certified reports, dashboards, and semantic layers. Provide production support, troubleshooting, deployments, documentation, training, and on-call rotation to ensure stable, high-performance analytics for business stakeholders.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.

Support commercial strategy by analysing customers, markets, offerings and processes. Build dashboards and visualisations, define KPIs, gather CRM requirements, present insights, and collaborate with data scientists and engineers to deliver analytics-driven recommendations.

Support enterprise BI data warehouse: perform ETL and data integration, develop SQL scripts, build and maintain SSRS reports and SSAS cubes, use Qlik for analytics, document solutions, support stakeholders and train end users.

Design, build, and maintain Power BI reports, semantic models, dashboards, and recurring reports. Translate business requirements into governed metrics and data models, partner with ERP and stakeholders, validate and reconcile data, optimize report performance, and deliver executive and operational insights to improve decision-making and reduce manual effort.

Support FP&A and BI with Power BI reporting, semantic model maintenance, forecasting and S&OP analytics, KPI/DAX development, data transformation, and cross-functional analytics for demand, inventory, and operational performance.

Lead enterprise analytics lifecycle: gather executive requirements, design data architecture and Snowflake models, build automated Power BI reports using DAX/Power Query, deliver advanced project and supply-chain analytics, mentor junior developers, and establish BI governance and standards. Onsite in McLean, VA with occasional travel to construction sites.

Support BI systems, data cleaning, validation, and automated workflows; maintain CRM operations and campaign tasks; create reports, documentation, and training materials; liaise across teams to improve data quality, automation, and campaign execution.

Entry-level BI developer supporting healthcare analytics: build reports and dashboards (Power BI, Epic, Workday), assist ETL and data validation, follow Agile practices, collaborate with stakeholders, maintain source control, and support senior developers in troubleshooting and data storytelling.

Design, build, and maintain contact-center analytics and BI solutions: data integration, warehousing, semantic modeling, Power BI/SSAS reporting, forecasting, AI-enabled insights, and stakeholder consulting.

Develop and maintain certified, Section 508-compliant drill-down financial dashboards in Looker/Looker Studio backed by BigQuery. Implement semantic-layer models, row-level/report-layer security, reconciliation checks to Delphi, OA data segregation, operational metrics, and documentation for government maintainers.

Lead design and delivery of enterprise BI: architect semantic models, build executive dashboards and self-service analytics, ensure data quality and governance, partner with cross-functional leaders, mentor junior staff, and drive adoption of cloud BI platforms and reporting best practices.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

The Director leads Business Intelligence efforts, advancing data solutions, managing teams, and ensuring reliable analytics for decision-making across the University.