Top Business Intelligence Jobs

The Data Specialist role involves analyzing complex data to improve supplier quality and performance using BI, statistical analysis, and machine learning. Responsibilities include maintaining dashboards, developing predictive models, and collaborating with teams to enhance decision-making and operational efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Design, build, and implement business intelligence solutions using BI tools and programming languages. Develop data pipelines, validate data quality, create visualizations, collaborate with stakeholders, perform economic and business analysis, and support data architecture and process improvements to drive client decision-making.

Design and implement business intelligence solutions, analyze complex datasets, and deliver advanced-analytics insights using BI tools. Build data pipelines, create visualizations (Oracle BI, QlikView, Spotfire), collaborate with stakeholders, manage client relationships, and lead teams to improve business performance and data quality.

Design and maintain analytics frameworks, data architectures, and pipelines using SQL and cloud platforms. Build scalable dashboards and reports, support experiment design and analysis, validate data quality, automate reporting, and document technical designs. Collaborate cross-functionally to deliver data products and insights that measure digital asset impact and support business decisions.

Lead BI initiatives by partnering with stakeholders to gather requirements, design and implement reports and dashboards, perform data discovery and validation, and ensure data governance and regulatory compliance using advanced SQL and BI tools.

Design, develop, and administer advanced analytics dashboards, BI reporting, and data views. Partner with stakeholders to gather requirements, deliver production analytics, perform root-cause analyses, support data governance, and enable self-service analysis across laboratory, operations, and engineering teams.

Partner with Finance, Accounting, and Revenue Operations to design and deliver Power BI analytics, semantic models, and decision support for forecasting, close, revenue, and spend analysis. Translate finance concepts into metrics, reconcile data across systems, collaborate with data engineering, and apply AI-assisted tools to automate and scale finance analytics for executives and business partners.

Lead cross-functional BI initiatives by partnering with business leaders to translate priorities into scalable analytics, dashboards, and datasets. Use SQL and Snowflake to analyze large datasets, optimize queries, and collaborate with data engineering on pipelines. Establish governance, data quality, and best practices; develop roadmaps; communicate insights to executives; mentor analysts; and drive process improvement and modernization to enhance BI capabilities.

Lead BI strategy and a team of BI Engineers and Analysts for Pharmacy Operations. Own analytics roadmap, build scalable data products, dashboards, ETL/ELT pipelines, and curated datasets. Partner with stakeholders to prioritize work, run deep-dive analyses, ensure data quality and governance, and drive adoption of analytics solutions.

Lead BI strategy for workforce analytics: partner with HR, build self-service analytics, ensure data governance and quality, mentor BI team, monitor performance, and integrate BI tools with cloud platforms (Databricks preferred).

Lead client-facing BI analytics for national accounts: design analytical frameworks, build and maintain Snowflake/SQL queries and reports, deliver insights to stakeholders, drive BI infrastructure improvements, manage complex projects, and mentor junior analysts.

Client-facing BI leader who translates large wholesale datasets into actionable insights. Designs SQL/Snowflake queries, builds analytical frameworks and reports, partners with Sales and Data Science, drives BI infrastructure improvements, manages complex projects, and mentors junior analysts to support strategic decision-making.

Lead and build the Finance Business Intelligence function: set multi-year BI strategy, hire and develop engineers, data scientists, and analysts, deliver predictive models and AI-augmented finance analytics, establish governance and authoritative metrics, partner with Finance and CTO on tooling and data platform decisions, and operationalize intake and delivery for high-velocity, trusted finance intelligence.

Lead and build the Finance Business Intelligence function: set strategy, hire and grow a multidisciplinary data team, evolve reporting into predictive and AI-augmented analytics, govern finance data and metrics, partner with Finance leadership, and select the finance data stack and tools to deliver scalable, auditable, and trustworthy analytics and forecasting.

Design, build, and implement analytics solutions for learning data: extract, transform and load datasets, develop clustering and predictive models, create Power BI dashboards, and provide training and consultancy to faculty and staff.

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.

Partner with stakeholders to analyze and document SAP ECC processes, develop BI and analytics solutions on enterprise platforms like Snowflake, improve data quality and governance, enable self-service reporting, and support application development and process modernization to drive better decision-making and operational efficiency.

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.

Drive analytics operations and governance for Marketing: prioritize and manage analytics workstreams, enable organization-wide measurement, maintain BI ecosystem, automate dataflows, improve taxonomy and documentation, and communicate insights to stakeholders and executives.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead Requirements Analyst responsible for managing business analysis, requirements elicitation, strategic development, and documentation for IT projects, particularly focusing on data warehousing and business intelligence.

The Business Analyst/QA Tester will assist in identifying business trends, support IT projects, and contribute to software testing to ensure quality deliverables.

The Lead Sr. Business System Analyst will lead requirements definition, data and systems analysis, and quality assurance while collaborating with stakeholders, particularly in the financial services industry.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.