Top Business Intelligence Jobs

Manage enterprise analytics initiatives supporting Hilton’s customer, brand, marketing, digital, revenue, sales, finance, and executive teams. Analyze enterprise and industry performance, create dashboards and reports, develop quarterly business review and earnings materials, deliver presentations, and partner cross-functionally to improve performance. Maintain and automate reporting tools, provide self-service data solutions, and train stakeholders on analytics resources.

Create client-facing analyses and reusable data products for Product, Analytics, Client Success, and Sales teams. Analyze large healthcare datasets to identify behavioral patterns among medical professionals, automate code, and communicate insights to technical and non-technical stakeholders. The role combines SQL, Python-based exploratory data analysis, data visualization, stakeholder collaboration, and opportunities to grow into presentation-focused or advanced technical work.

Leads Operations Technical Services strategy and manages 4–6 analysts and programmer analysts. Oversees reporting, dashboards, data marts, extracts, applications, ETL controls, data architecture, stewardship, data quality, and BI solutions. Partners with health plan operations stakeholders and IT to define requirements, automate analysis, ensure privacy compliance, resolve information-access issues, and deliver actionable insights across customer service, claims, membership, and provider operations.

Develop and maintain Power BI dashboards, data models, ETL processes, data validations, and automated analytics solutions. Translate stakeholder needs into technical specifications, improve operational efficiency, document BI environments, and support teams across facilities, finance, strategic planning, and project management with trusted data insights.

Leads a team of data analysts while delivering business intelligence insights across Marketing, Product, Operations, and Finance. Owns the Tableau environment, including governance, permissions, licensing, data quality, and platform capabilities. Develops dashboards, KPI frameworks, and analytics roadmaps; oversees marketing attribution and campaign measurement; partners with Data Engineering on data availability; and drives stakeholder adoption of analytics products.

Supervises Product Services & Management staff and daily operations while leading the organization’s business intelligence function. The role develops dashboards, metrics, and insights from internal and external data, identifies trends and anomalies, collaborates with development teams on BI solutions, and supports strategic planning and competitive decision-making. Responsibilities also include team selection, motivation, training, guidance, and presenting recommendations to leadership.

Designs, develops, tests, and supports business intelligence applications and reporting tools. Responsibilities include advanced SQL development, data discovery, data warehouse integration, ETL/ELT solutions, query performance tuning, data quality controls, and healthcare data feeds. Collaborates with cross-functional technology teams, manages small projects, mentors developers, performs code reviews, and serves as a subject matter expert for BI applications.

Business Intelligence Interns will conduct exploratory data analysis, create ad hoc reports, and support the development, migration, and improvement of dashboards using Looker and Databricks. They will gather requirements, build visualizations, test dashboard accuracy and usability, identify data inconsistencies, and document findings while collaborating with team members on business initiatives.

Own end-to-end reconciliation and financial reporting across card networks, processors, banks, and internal ledger data. Build SQL-based reports, dashboards, exception queues, metrics, and automated controls; investigate discrepancies and root causes; improve data pipelines and processes; support month-end close, audits, and regulatory reporting; and partner with Engineering, Product, Accounting, Treasury, Tax, and Compliance. Mentor analysts and guide responsible AI use.

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, 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 the University’s planning and business intelligence function, advising senior leaders on institutional performance, strategic planning, reporting, analytics, student demand, funding, and resource allocation. Oversee business intelligence, government reporting, forecasting, admissions modelling, dashboards, and strategic analysis. Manage a multidisciplinary team, support evidence-based decision-making, and represent the University with government agencies, sector bodies, and stakeholders.

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.

Performs business analysis for an enterprise data warehouse, including requirements elicitation, business rules, process documentation, backlog and sprint management, stakeholder facilitation, application impact analysis, reporting support, user training, and systems documentation. The role is highly data-centric and supports Oracle, Informatica, OBIEE, Tableau, and Microsoft Dynamics environments.

Participate in a 24-month Business Intelligence rotation program across three eight-month assignments. Develop dashboards, reports, visualizations, data models, semantic layers, analytics solutions, and self-service reporting capabilities. Analyze enterprise data, translate findings into recommendations, collaborate with business stakeholders and technical teams, gather requirements, and explore AI-driven analytics. The role includes structured learning, mentoring, networking, and progression into a full-time Data Office position.

Intern will explore accounting technology through business process automation, business intelligence, financial reporting, dashboards, and accounting systems administration. The role also involves citizen development, data analysis, and bridging business and IT. Candidates will apply SQL, Excel, and Power Platform skills while developing problem-solving, analytical, communication, and teamwork abilities in a financial services environment.

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.

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.

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.

Develop revenue, yield, and business intelligence analyses; build scalable SQL- and Python-based solutions; create and maintain Tableau dashboards; conduct statistical analyses, discrepancy checks, and A/B testing; identify business opportunities; and communicate actionable insights to stakeholders across sales, account management, publisher, DSP, agency, and executive teams.

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.

Analyzes dealer, broker, marketplace, sales, inspection, and conversion data for Remote Dealer Services and Trade Desk teams. Builds recurring and self-service Tableau reports and dashboards, validates metrics, investigates data discrepancies, supports data pipelines and queries, and provides insights, forecasts, and recommendations. Partners with stakeholders to define reporting requirements, maintain data governance, and communicate performance trends and business intelligence findings.

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.

Leads commercial strategy and business intelligence for cardiovascular MedTech businesses. Builds BI roadmaps, dashboards, data products, competitive intelligence, and executive insights; partners cross-functionally to turn complex data into actionable recommendations. Manages and develops an analytics team, promotes data innovation and automation, and ensures data governance, quality, scalability, and operational excellence.