Top Business Intelligence Jobs in Minneapolis, MN

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Develop and implement BI solutions using Oracle BI, QlikView, and Spotfire. Build data pipelines, validate data quality, perform analysis, collaborate with stakeholders, support data architecture, and apply economic analysis to inform client strategies.

Design and architect BI solutions: translate business requirements into data models and technical specs, create reporting and analytics, troubleshoot data quality, and support BI project delivery and strategy.

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.

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

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 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 enterprise Procure-to-Pay data initiatives, governance, and quality across Global Supply Management. Manage Data Analysts, analyze source systems (ERP, planning, WMS, shop floor), drive root-cause analysis, data migrations, validations, and process improvements to ensure accurate master and transactional data supporting planning, logistics, manufacturing, and digital transformation.

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.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The Market & Business Intelligence Analyst conducts research on clients and competitors, analyzes data for strategic initiatives, and supports business development efforts.

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

Lead analytics, space management, and category management teams across multiple client accounts. Partner with senior leadership to manage client relationships, translate priorities into actionable team direction, deliver data-driven insights that drive measurable client value, optimize tools and processes, and identify growth opportunities.

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.

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.

Serve as a BI expert for assigned applications: analyze business needs, support project releases, develop and execute testing, liaise with business lines, implement solutions, and report findings to ensure successful system deployment.

Design, develop, and maintain business intelligence solutions including reports, dashboards, ETL processes, and relational/dimensional data models. Translate stakeholder requirements into technical designs, support the system-wide reporting platform, and deliver timely, accurate analytic and reporting services.

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.

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.

Design, build, and maintain enterprise BI solutions (dashboards, reports, data models) using Power BI and Domo. Write and optimize complex SQL for SQL Server and Snowflake, develop ETL/ELT pipelines, validate data quality, document lineage and logic, and leverage AI-powered analytics and agentic assistants to automate and accelerate reporting and insights delivery.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Design and deliver executive-ready Power BI reports, dashboards and agentic experiences. Build semantic models and self-service analytics, apply DAX, Power Query and Fabric notebooks, perform data exploration with SQL/KQL, and drive AI-enabled automation. Collaborate with data engineering to influence ingestion and transformation, translate business strategy into data solutions, and ensure performance, reliability, and scalability of reporting assets.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.