Top Senior Business Intelligence Jobs

Analyzes data from multiple sources to identify business and advertising performance trends, build dashboards and reports, and deliver actionable recommendations. Partners with account management and cross-functional teams on measurement strategies, product insights, campaign optimization, and revenue-impacting initiatives. Communicates complex analytical findings to technical and non-technical audiences and influences business decisions through data storytelling.

Leads business intelligence and analytics initiatives for Caterpillar’s components organizations. Partners with stakeholders to identify opportunities, gather requirements, prioritize roadmaps, and deliver Power BI, Sigma, Snowflake, web application, automation, and AI solutions. Oversees portfolio governance, communications, risk management, milestone tracking, process improvement, and adoption while translating business needs into scalable, data-driven solutions across engineering, supply chain, manufacturing, commercial, and product teams.

Leads business intelligence and analytics engineering initiatives for Snap’s People Team. Designs scalable data pipelines, models, data products, dashboards, and self-service analytics solutions. Translates business needs into technical requirements, conducts statistical analysis, improves data quality and operational reliability, and delivers actionable insights. Owns systems end to end while mentoring team members and communicating effectively with executives, business partners, analysts, and technical teams.

Leads a specialized Business Intelligence and reporting team supporting AML data governance and financial crimes risk management. Oversees reporting, data controls, regulatory reviews, audits, risk remediation, stakeholder relationships, project intake, resource planning, and data visualization standards. Provides strategic direction, executive-level insights, regulatory guidance, and people leadership while ensuring compliance, data quality, continuous improvement, and timely delivery of BI initiatives.

Directs university-wide data and analytics functions, including solution design, data architecture, reporting, dashboards, data governance, security, and data integration. Oversees data warehouses, data lakes, ETL processes, analytics platforms, project planning, documentation, and compliance. Collaborates with departments and data stakeholders to support strategic decision-making and continuous improvement. Supervises analysts, manages performance evaluations, and leads training and development.

Leads the design, development, and support of customer-focused data and business intelligence solutions, including data models, reports, dashboards, and self-service analytics tools. Partners with stakeholders and IT, promotes data governance and quality standards, supports data lake design, and develops scalable analytics products. Provides technical leadership, mentors team members, manages project deliverables, and applies data science concepts to generate predictive and prescriptive insights.

Manages enterprise data and analytics initiatives, including data platforms, business intelligence tools, visualization, AI capabilities, governance, and analytics products. Leads teams of data engineers, architects, analysts, and BI professionals; oversees data modeling, reporting, data management, stakeholder insights, and technology platforms. Establishes success metrics, supports strategic decisions, guides change initiatives, and mentors team members while collaborating with clinical and operational stakeholders.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Supports project planning and senior leadership through predictive modeling, historical data management, Power BI dashboards, automated Excel workbooks, data warehouses, forecasting, and enterprise reporting. Coordinates with Finance, Contracts, Project Management, and shipyard stakeholders to develop workflows, analyze schedule and cost performance, prepare ad hoc reports, and brief project findings. The role also applies AI and machine learning to data engineering, analytics, visualization, and predictive modeling.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Leads complex business analysis, data reporting, ERP optimization, requirements gathering, system design, Workday configuration, testing, release implementation, process mapping, and end-user support. Serves as a strategic ERP advisor, recommends technology solutions, develops reports and documentation, resolves system issues, identifies training needs, and mentors junior staff across Finance, HR, and Research Administration systems.

Develop and maintain enterprise Power BI dashboards, semantic models, and reporting solutions. Integrate Azure and Databricks data, write Python and PySpark transformations, optimize DAX and data models, implement security, and ensure data quality. Collaborate with stakeholders, engineers, and architects to translate requirements into scalable solutions. Lead technical teams, conduct architecture reviews, manage Fabric platforms, and train business users on Power BI.

Provides executive leadership for advancement analytics, business intelligence, reporting, data governance, integrations, data architecture, AI enablement, innovation, and organizational learning. Establishes data strategy and governance, oversees analytics and decision-support capabilities, leads directors and analysts, and partners with university stakeholders to improve fundraising effectiveness and organizational performance.

Designs and maintains dashboards, reports, and visualizations; validates data quality and reporting logic; translates complex analysis into actionable recommendations; partners with data teams and stakeholders; improves reporting scalability, self-service analytics, and responsible AI usage. Presents findings to technical and non-technical audiences while supporting strategic and operational decision-making.

Develop and implement business intelligence, analytics, automation, and AI-enabled reporting solutions. Design datasets, data models, dashboards, reports, and analytical tools; integrate data across systems; administer reporting governance; validate data; troubleshoot reporting systems; and establish consistent metrics and sources of truth. Partner with Finance, Operations, Technology, and other stakeholders to translate business needs into scalable technical solutions and improve reporting quality, efficiency, and business value.

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.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Owns the full lifecycle of business intelligence solutions, including requirements gathering, dashboard and report development, data modeling, visualization, governance, and production delivery. Partners with business, laboratory, engineering, and product stakeholders to perform root-cause analyses, develop datasets, support self-service analytics, and guide system changes. Requires advanced SQL, BI tool expertise, stakeholder management, and experience with agentic workflows.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Designs and maintains enterprise BI reporting, analytics applications, data marts, warehouses, and ETL/ELT pipelines. Partners with cross-functional stakeholders to gather requirements and deliver scalable solutions using SQL, Python, Snowflake, Airflow, and BI visualization tools. Leads initiatives through architecture, implementation, delivery, and support, while advancing AI adoption across the BI and data development workflow.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Develops business intelligence solutions by querying ERP data, creating dashboards and visualizations, validating data, and delivering actionable insights. Partners with technical and business stakeholders to define requirements, document technical specifications, create test plans, support UAT, and improve BI platform performance, security, and usability. The role also provides backup support for analytics engineering and data science functions.

Develops and maintains business intelligence solutions for BYU Continuing Education. Extracts and transforms data, builds Tableau and Power BI reports, ensures data governance and security, consults with stakeholders, presents insights, trains users, supervises student employees, and improves analytics tools to support data-driven decision-making.

Designs, develops, and maintains enterprise Power BI dashboards, reports, semantic models, and analytics solutions. Builds DAX measures, dimensional models, KPIs, and row-level security. Gathers business requirements, supports user acceptance testing, trains users, and establishes reporting governance standards. Administers reporting environments, monitors performance and adoption, troubleshoots refresh issues, resolves production incidents, and collaborates with business, data engineering, database, and IT teams.