Top Business Intelligence Jobs

Partners with stakeholders to define analytics requirements, analyze complex data, build forecasting models, evaluate campaigns, and develop internal and external dashboards. Uses SQL and multiple data platforms to uncover business insights, identify drivers, and support data-driven decisions. Presents findings through clear narratives and visualizations while promoting data-driven collaboration and maintaining reporting solutions.

Own Power BI datasets, semantic models, DAX measures, and dashboards end to end. Trace and troubleshoot data flows through Azure Data Factory, Microsoft Fabric, and Power BI while ensuring reporting accuracy. Partner with stakeholders to define requirements, document reporting logic, and expand self-service analytics. Use and validate AI tools for queries, DAX, documentation, and reporting automation. Develop broader Customer Operations systems knowledge over time.

The Senior Business Intelligence Analyst develops scalable data models, reports, dashboards, queries, metrics, and analytics workflows. They partner with business stakeholders to translate needs into actionable insights, optimize data solutions for accuracy and performance, maintain reliable pipelines, automate reporting using generative AI, and ensure documentation and testing standards. The role also identifies risks and opportunities, leads end-to-end projects, and mentors junior analysts.

Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.

Build and maintain BI dashboards, reports, curated data models, and analytical datasets. Partner with stakeholders to define KPIs, translate business needs into reporting solutions, validate data accuracy, document metrics, troubleshoot discrepancies, automate recurring reporting, and support data-driven operational insights.

Supports semiconductor logistics applications and reporting systems by developing, testing, and deploying data management and business intelligence applications. Transforms complex manufacturing data into actionable reports, writes SQL and Java code, mines and merges datasets, and contributes to AI-enabled data initiatives. The intern collaborates with manufacturing and engineering teams, drives reporting-system improvements, and provides periodic off-shift or on-call support for urgent issues.

Leads the Diagnostics business analytics strategy, roadmap, governance, and end-to-end delivery of dashboards, reporting, visualization, and AI-enabled solutions. Partners with executives and technology teams to define KPIs, drive adoption, measure value, and improve business outcomes. Builds and manages analytics, BI, business analysis, and product teams; oversees budgets, vendors, portfolios, resource planning, and organizational data literacy.

Leads complex fulfillment-center analytics and applied AI initiatives from problem definition through production adoption. Builds scalable data models, pipelines, inspection tools, root-cause analysis, predictive solutions, and self-service analytics. Partners with Product, Engineering, Data Science, and Operations, establishes engineering standards, conducts reviews, mentors junior engineers, and communicates recommendations to senior stakeholders. Requires strong SQL, Python, cloud data, machine learning, visualization, testing, and software engineering expertise.

Deliver business intelligence and performance insights for institutional sales teams. Build sales enablement tools, AI-enabled workflows, KPI frameworks, and scalable data models. Analyze complex datasets, prototype statistical or machine learning models, ensure data governance, and translate findings into recommendations for senior stakeholders while partnering with technology and cross-functional teams.

Leads Sales Business Intelligence strategy and AI transformation as a senior individual contributor. Develops enterprise Power BI dashboards, data models, SQL transformations, metrics frameworks, AI agents, and automated analytical workflows. Partners with sales leadership, IT, engineering, security, and governance teams to deliver trusted insights, improve adoption, reduce manual reporting, and influence revenue decisions. Mentors analysts and drives AI-enabled ways of working without direct people-management responsibility.

Leads enterprise business intelligence, analytics, and reporting platforms. Defines strategy, governance, standards, roadmaps, and modernization initiatives; manages platform selection, migrations, rationalization, lifecycle, vendors, investments, and performance. Establishes semantic layers, governed metrics, self-service analytics, and reporting standards while partnering with business, architecture, engineering, security, and technology leaders. Builds high-performing teams and ensures scalable, secure, reliable, cost-effective analytics capabilities aligned with business outcomes.

Leads the Business Analytics and Reporting team, delivering business intelligence, dashboards, regulatory reporting, financial analyses, and executive insights. Partners with FP&A, strategic planning, and business stakeholders to explain performance drivers, risks, and recommended actions. Owns capital, retained earnings, and dividend calculations; modernizes reporting processes; improves controls and efficiency; and manages hiring, coaching, prioritization, and team development.

Leads business intelligence strategy, reporting, data governance, process optimization, automation, and AI enablement for Networks and Leadership Solutions. Owns the BI portfolio, data and technology roadmap, dashboards, metrics, and decision support capabilities. Translates business needs into scalable solutions, drives enterprise transformation and adoption, manages technology partners, and leads cross-functional teams. Advises executives, improves operational performance, and establishes governance, change management, and continuous improvement practices.

Develop and maintain high-visibility Tableau BI solutions, including complex dashboards, embedded analytics, data integrations, and performance optimization. Translate business requirements into secure, accessible visualizations; validate data accuracy and usability; troubleshoot APIs and data connections; and apply Python, ETL, Agile, CI/CD, and AI-assisted development practices. The role also produces architecture artifacts, mentors developers, manages backlog responsibilities, and improves software and data-system quality.

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.

Identifies business intelligence and reporting needs, gathers requirements, develops business requirements, analyzes business processes and data, and supports dashboards, reports, KPIs, and data warehouse strategy. Ensures data quality, maintains metadata and data dictionaries, researches business problems, and presents findings. The role also trains clients on analytical tools and complies with banking regulations, risk controls, and internal policies.

The Data and BI Manager leads reporting and analytics design, development, implementation, and infrastructure management. Responsibilities include maintaining dashboards and data warehouses, scaling reporting performance, guiding deployment, auditing financial data accuracy, and supervising related activities. The role requires advanced SQL, BI expertise, data programming knowledge, communication skills, and systems leadership experience.

Designs, deploys, and maintains Oracle Fusion Cloud business intelligence and reporting solutions. Gathers stakeholder requirements, develops reporting frameworks and dashboards, manages data warehousing and analytics solutions, and ensures data accuracy, integrity, and security. Troubleshoots reporting issues, improves reporting processes, and recommends enhancements that support business decision-making.

Lead HR business intelligence strategy and delivery for a global organization. Partner with HR and business leaders to translate requirements into workforce insights, develop self-service analytics, ensure data governance and quality, integrate BI tools with cloud platforms such as Databricks, and manage a BI team. Responsibilities include dashboard and visualization development, solution performance monitoring, stakeholder engagement, and continuous improvement.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Leads the Digital and Marketing data, measurement, governance, reporting, and analytics strategy. Owns KPI definitions, data quality, measurement standards, and platform enablement while translating customer and marketing insights into strategic recommendations. Partners cross-functionally with Marketing, Digital, Technology, Finance, Data Science, and Loyalty teams. Builds scalable operating models, advances experimentation and AI-enabled analytics, and leads and develops a high-performing analytics organization.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Leads pricing strategy, business intelligence, reporting, data governance, and product data management. Manages the Pricing and Data Analytics team, develops pricing controls, analyzes profitability and market trends, establishes reporting standards, and creates Power BI dashboards and executive scorecards. Partners with sales, procurement, IT, finance, marketing, quality, and leadership to support strategic decisions, continuous improvement, and company-wide data accuracy.

Designs, develops, maintains, and optimizes enterprise Power BI dashboards, reports, semantic models, and analytics solutions. Translates business requirements and KPIs into governed reporting products, implements DAX calculations and row-level security, and supports data governance. Provides user training, documentation, platform monitoring, troubleshooting, incident resolution, and production support while collaborating with business, data engineering, database, and IT teams. Korean bilingual communication is required.

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.