Top Business Intelligence Jobs in Minneapolis, MN

Lead design, build, test, and maintain Power BI reports and dashboards. Perform advanced data analysis, ETL, data modeling, and documentation. Mentor team members, consult with stakeholders, ensure automation, scalability, and compliance, and support analytics initiatives using Agile practices.

Design and architect data models and ETL/ELT frameworks using Informatica. Develop and troubleshoot integrations on Unix/Linux, engage business stakeholders, and apply payments domain expertise in a global delivery environment.

Lead Master Data transformation for Global Service & Repair by translating business priorities into MDM and analytics demand, driving data governance, quality, process improvements, stakeholder alignment, and delivery across SAP, Windchill, and enterprise data platforms.

Lead a global team to design and deliver supply chain data solutions and digital transformation programs. Own data architecture, analytics, process improvement, and program execution to improve planning, manufacturing, inventory, logistics, and order fulfillment. Mentor teams, communicate KPIs to executives, manage risks, and ensure data accuracy and predictive analytics drive operational decisions.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead technical design and delivery of enterprise data warehouse and BI solutions. Own data architecture, complex ETL/ELT development, testing, performance tuning, and prototyping. Mentor teams, coordinate cross-functional resources and vendors, enforce best practices, and ensure data readiness and quality to enable analytics and business value.

The Business Analyst will serve as an interface between business and data, leveraging SQL and data analysis to create meaningful data solutions.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

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.

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.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead design, development, and optimization of enterprise Power BI solutions. Collaborate with stakeholders to define metrics, build semantic models, implement governance, tune performance, troubleshoot data/model issues, manage platform administration, and deliver actionable reports and dashboards using Power BI, SQL Server, and Azure data platform.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Analyze business questions, build dashboards and reports, conduct impact analyses and simple deterministic models, collaborate with data engineers to augment datasets, develop documentation and low-code end-user applications, and present insights to stakeholders to support data-driven decisions.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Design, build, and maintain Power BI semantic models, dashboards, and KPI-driven reports. Translate business requirements into analytics solutions, create DAX calculations, validate and reconcile data, optimize performance, enforce dataset security, document metrics, and support BI governance and release processes in a regulated banking environment.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

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.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

Solve complex healthcare business problems using internal and external data. Maintain and modernize ancillary provider DataMart in Databricks, extract and analyze claims and membership data, develop insights and automated tools to model financial impacts, and partner cross-functionally with provider contracting and senior leadership to drive strategy.