Top Business Intelligence Jobs in Minneapolis, MN

Lead BI developer responsible for gathering requirements, designing and building reports/dashboards, maintaining data processing and ETL, performing analysis and root-cause, documenting data and processes, and supporting operations and customer-facing reporting.

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.

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.

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

Manage BI projects for assigned clients, delivering data-driven insights and category management solutions. Analyze syndicated and shopper data, build client-specific performance reporting and sales presentations, support category reviews, and act as a trusted advisor. Independently manage project plans, communicate recommendations, attend client sales calls, and ensure alignment to KPIs and initiatives to drive results.

Senior Programmer supporting Consumer & Business Banking Risk by developing and maintaining automated BI solutions: advanced SQL, ETL/ELT pipelines, SDKs for OCR, Power Platform workflows/apps, data visualizations, scheduled processes, ad-hoc/recurring reporting, and mentoring team members.

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.

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.

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.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.

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.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

The Senior BI Analytics Engineer will design and deliver data models for analytics, ensuring data quality, and collaborating across teams to enhance AI-driven reporting and querying capabilities.

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, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Embed as the primary product analytics partner on a digital product team. Define measurement plans, KPIs, funnels, build Power BI dashboards, analyze member behavior and funnel drop-off, design and interpret A/B tests, write SQL and Python for analysis and automation, and translate findings into clear product recommendations.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Lead BI architecture and solution design; build and optimize Power BI and Tableau semantic models; write and tune DAX, Power Query, and SQL; architect dimensional data models; define governance, CI/CD, and deployment standards; partner with data engineering; drive self-service BI and mentor BI developers.

Validate and QA data across UI and API sources, investigate issues, manage taxonomy mismatches, compile non-automated reports, and update/maintain dashboards (Power BI/Tableau). Collaborate with Business Strategy, Investment, and Analytics teams to resolve data and KPI anomalies.

Design, develop, and deploy Power BI reporting and analytics on Snowflake. Migrate OBIEE reports to Power BI, build data models and ETL/ELT pipelines, write DAX and SQL, optimize report performance, ensure data quality, and support stakeholders with documentation and ongoing support.

Senior Power BI developer responsible for building dashboards, scorecards, and analyses that deliver actionable insights. Partner with stakeholders and data architecture to join disparate datasets, ensure data quality, perform ETL, apply advanced DAX/Power Query and SQL, and present recommendations to senior leadership to drive KPI improvements.