Top Senior Business Intelligence Jobs

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 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 strategy and deliver enterprise BI solutions: design, implement, secure, optimize, and mentor a BI team. Ensure data accuracy, governance, ETL/integration, and align BI initiatives with executive goals.

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.

Support Northeast EDI team by analyzing reports, maintaining EDI interfaces and client configurations, developing Power BI reports and analyses, providing QA, training users, creating SOPs, and escalating complex issues to leadership.

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.

The Senior Business Intelligence Analyst will analyze data to drive business insights, create presentations for executives, and support strategic decision-making.

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.

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.

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.

The Senior Business Intelligence Analyst will optimize defense healthcare operations by leveraging data analytics, supporting decision-making, and enhancing resource allocation through advanced tools and reporting systems.

The Senior Power BI Consultant will design complex data models, create dashboards, optimize DAX formulas, and provide strategic consulting while collaborating with teams and clients.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Lead BI developer owning end-to-end reporting for performance marketing verticals. Build and standardize dashboards, author LookML models, extract insights from messy third-party data, partner with Yield/Paid Media/Account teams, deliver retrospective analyses, and drive adoption and business impact.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.