Top Business Intelligence Jobs in Minneapolis, MN

Leads healthcare analytics service delivery across Medicare, Medicaid, and Commercial programs. Designs analytic models, dashboards, reports, and predictive solutions; translates complex data into client-ready insights; guides data governance and management practices; and promotes AI, machine learning, generative AI, and automation to improve reporting efficiency. Partners with clients, analysts, developers, subject matter experts, and AI teams to analyze claims, enrollment, provider, and member data and support value-based payment initiatives.

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

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 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.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

Leads marketing metrics, insights, and reporting initiatives across business areas. Provides project and program analytics, PMO governance, data architecture input, campaign performance analysis, A/B testing, SEO/SEM and funnel analytics. Partners with marketing, IT, project teams, and business leaders to develop reporting methodologies, manage complex projects, optimize campaigns, and translate data into actionable recommendations.

Manage transportation data integrity from intake through ETL and business intelligence platforms. Review and correct data errors, resolve quality and flow issues, analyze large transportation datasets, and create KPI reporting solutions. Deliver client business reviews covering spend, trends, savings, and market impacts. Serve as a client contact while collaborating with audit, finance, development, and analytics teams to improve reporting tools, software, and customer outcomes.

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.

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.

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.

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.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

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 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 and develop Business Objects Web Intelligence reports and UNV/UNX universes. Analyze and query data using SQL across Teradata and Microsoft SQL Server, while leveraging Excel and Access. Preferred experience includes SAP Lumira, SAP Explorer, QlikView, SAP or ERP systems, complex data structures, data mining, and 3M data systems and sources such as HANA, BW, GEDW, and SQL Server.

Design and develop Business Objects Web Intelligence reports and UNV/UNX universes. Analyze complex data structures and write SQL queries using Teradata and SQL Server. Use Excel, Access, and other Microsoft Office tools to support business intelligence initiatives. Preferred experience includes SAP Lumira, SAP Explorer, QlikView, SAP and ERP systems, and 3M data systems and sources.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

The Business Intelligence Analyst partners with stakeholders to define business questions and translate them into actionable insights. They build and maintain Power BI reports and dashboards using governed Microsoft Fabric datasets and semantic models, apply data storytelling practices, validate outputs, and identify data-quality issues. The role also supports self-service analytics adoption, promotes shared metric definitions, and bridges business users with centralized analytics and governance teams.

Designs, develops, and supports SQL Server databases, SSIS ETL processes, Power BI reports, dashboards, datasets, and analytics platforms. Responsibilities include database administration, performance tuning, data integration, dimensional modeling, data governance, security, reporting standards, and business requirements gathering. The role also supports ERP integrations, data quality initiatives, enterprise analytics, and application enhancement projects while partnering with technical and non-technical stakeholders.

Supports the Mission Critical team by analyzing operational data, identifying inefficiencies and root causes, and developing dashboards, visualizations, KPIs, and executive insights. Designs process and technology improvements, monitors adoption, creates SOPs and training materials, and collaborates with data engineering, field technology, project teams, and leadership to implement scalable solutions.

Serves as a CPG category expert by analyzing syndicated, panel, and research data; developing client reporting and sales presentations; presenting insights and actionable recommendations; supporting category management projects; monitoring client KPIs and strategies; coordinating meetings; and participating in customer sales calls.