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Business Intelligence Analyst Jobs in Minnesota (NOW HIRING)

3M

Business Intelligence Analyst

Maplewood, MN · On-site

3M is seeking a Commercial Excellence Specialist in Maplewood, Minnesota, to enhance sales performance through data analytics and reporting. In this role, you will work with various teams to analyze ...

3M

Business Intelligence Analyst

Maplewood, MN · On-site

3M is seeking a Commercial Excellence Specialist in Maplewood, Minnesota, to enhance sales performance through data analytics and reporting. In this role, you will work with various teams to analyze ...

Onto

Senior Business Intelligence Analyst

Bloomington, MN · On-site

$104K - $156K/yr

Translate business processes from Finance, Supply Chain, and other functions into robust analytical data models. * Partner with crossfunctional stakeholders to define KPIs, metrics, and data logic.

3M

Lead Business Intelligence Analyst

Maplewood, MN · On-site

3M is seeking a Commercial Excellence Specialist in Maplewood, Minnesota, to enhance sales performance through data analytics and reporting. In this role, you will work with various teams to analyze ...

3M

Lead Business Intelligence Analyst

Maplewood, MN · On-site

3M is seeking a Commercial Excellence Specialist in Maplewood, Minnesota, to enhance sales performance through data analytics and reporting. In this role, you will work with various teams to analyze ...

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All JobsBusiness Intelligence Analyst JobsBusiness Intelligence Analyst Jobs in Minnesota

Business Intelligence Analyst information

See Minnesota salary details

$44.6K

$97.8K

$160.1K

How much do business intelligence analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for business intelligence analyst in Minnesota is $97,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $113,600.00 per year, depending on experience, location, and employer.

What is a Business Intelligence Analyst?

A Business Intelligence Analyst is a professional who uses data analysis and reporting tools to help organizations make informed business decisions. They collect, process, and analyze large sets of data to identify trends, patterns, and insights that can improve business operations and strategy. BI Analysts often create dashboards, reports, and visualizations to communicate their findings to stakeholders and management. Their work supports data-driven decision-making across various departments within a company.

What does a business intelligence analyst do?

A business intelligence analyst or BI analyst uses data to determine a future business or market trend. Their goal is to increase a company’s efficiency and profits, using data mining and analysis to find the information they need for reporting. This information can help a company to analyze a trend so that they can stay ahead of their competitors. Most of the work that a business intelligence analyst does is on a computer. People in BI may also explore current conditions so they can see how a company is doing in the present. Once they compile the information, an analyst shares it with the necessary departments.

What are the key skills and qualifications needed to thrive as a Business Intelligence Analyst, and why are they important?

To thrive as a Business Intelligence Analyst, you need strong analytical skills, data interpretation abilities, and a relevant degree such as in computer science, business, or statistics. Proficiency with BI tools like Tableau, Power BI, SQL, and familiarity with data warehousing systems are typically required, along with certifications such as Microsoft Certified: Data Analyst Associate. Excellent communication, problem-solving, and stakeholder management skills help analysts translate data insights into actionable business strategies. These competencies are essential for driving informed decision-making and delivering measurable value to organizations.

How does a business intelligence analyst typically collaborate with other departments within an organization?

Business Intelligence Analysts work closely with various departments such as marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often participate in cross-functional meetings to discuss reporting requirements, develop dashboards, and interpret data trends. Effective communication and collaboration are key, as analysts must translate complex data findings into clear, business-friendly recommendations that support strategic decision-making. This collaborative environment helps ensure that data-driven solutions align with the organization's overall goals.

What is the difference between Business Intelligence Analyst vs Data Analyst?

AspectBusiness Intelligence AnalystData Analyst
Required SkillsData visualization, SQL, reporting tools, business acumenData cleaning, statistical analysis, Excel, SQL
Work EnvironmentBusiness intelligence teams, analytics departmentsData-focused teams, research departments
Industry UsageWidely used in corporate, finance, marketingCommon across various sectors including healthcare, retail

Business Intelligence Analysts focus on creating reports and dashboards to support strategic decisions, often working with BI tools and visualizations. Data Analysts handle data collection, cleaning, and analysis to uncover insights. While both roles require SQL and analytical skills, BI Analysts emphasize reporting and business insights, whereas Data Analysts focus more on data processing and statistical analysis.

Is business intelligence analyst a high paying job?

Business Intelligence Analysts typically earn above-average salaries compared to many other roles, with compensation often increasing with experience, certifications, and proficiency in tools like SQL and Tableau. The role's salary can vary based on industry, location, and company size, but it is generally considered a well-paying position in the data and analytics field.

What is the job of a business intelligence analyst?

A business intelligence analyst collects, analyzes, and interprets data to help organizations make informed business decisions. They use tools like SQL, data visualization software, and reporting platforms to identify trends and insights, often working with large datasets and requiring strong analytical skills. The role typically involves creating reports, dashboards, and presentations to communicate findings to stakeholders.
More about Business Intelligence Analyst jobs

What are the most commonly searched types of Business Intelligence Analyst jobs in Minnesota?

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For Business Intelligence Analyst jobs in Minnesota, the most frequently searched job titles are:

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Business Intelligence Analyst jobs near you
Infographic showing various Business Intelligence Analyst job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,808 per year, or $47 per hour.

Business Intelligence Analyst

Tactile Medical

Minneapolis, MN

Full-time

Posted 6 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Business Intelligence Analyst will translate business questions into clear, trustworthy insights by delivering high quality reports and dashboards using shared, governed data assets in Microsoft Fabric. This role combines business analysis, stakeholder partnership, and BI development to support decision making and drive adoption of self-service analytics across the organization.

Key Responsibilities:
Business Analysis & Insight Development

  • Partner with business stakeholders to clarify questions, decisions, and success criteria
  • Translate business needs into analytical approaches using existing data assets
  • Provide context, interpretation, and recommendations, not just dashboards
  • Identify gaps in current data or metrics and escalate opportunities for improvement

BI Development & Reporting

  • Build reports and dashboards using Microsoft Fabric/Power BI
  • Apply visualization and data storytelling best practices tailored to audience and use case
  • Use shared datasets and semantic models rather than embedding custom logic
  • Validate report outputs and flag data quality issues upstream, rather than applying workarounds

Adoption & Enablement

  • Help stakeholders understand and adopt self-service analytics where appropriate
  • Reinforce use of shared definitions and certified datasets
  • Serve as a bridge between business users and centralized data teams (Analytics Engineering, Governance)

Education & Experience:

Required:

  • 1-3 years of experience as a Business Analyst or in a related analytical role.
  • Experience gathering, documenting, and translating business requirements into technical solutions and actionable deliverables.
  • Proficiency in Power BI, including the development and maintenance of reports, dashboards, and data visualizations.
  • Strong ability to collaborate with business stakeholders to understand needs, identify opportunities, and recommend solutions.

Preferred:

  • Experience writing and troubleshooting SQL queries to extract, analyze, and validate data.
  • Knowledge of relational databases, data modeling, and reporting best practices.
  • Experience supporting business intelligence, reporting, or data analytics initiatives.
  • Familiarity with translating complex business processes into scalable reporting and data solutions.
  • Experience working in healthcare, durable medical equipment (DME), or other regulated industries preferred.

Key Skills:
Technical

  • Proficiency with Power BI/BI tools for reporting and analysis
  • Strong understanding of shared metrics, semantic models, and curated datasets
  • Ability to write DAX measures using approved definitions
  • Awareness of data freshness, latency, and consumption limitations
  • Data validation and basic reconciliation techniques

Professional

  • Strong business analysis and communication skills
  • Ability to frame ambiguous requests into clear analytical questions
  • Customer centric mindset with comfort influencing without authority
  • Willingness to shift from "report builder" to insight and decision enabler

Visualization & Analysis

  • Applies audience appropriate visual design
  • Tells clear, structured data stories using governed data
  • Highlights trends, drivers, and implications - not just numbers
  • Surfaces data quality or definition issues proactively
  • Builds reports using shared semantic models and Fabric datasets
  • Writes DAX measures following approved metric definitions
  • Applies visual performance best practices in reports and dashboards
  • Avoids local or data specific logic in favor of governed, reusable assets

Measured Success:

  • Reports are consistent, trusted, and aligned with shared metric definitions
  • Stakeholders rely on insights to inform decisions, not reconcile numbers
  • Self-service analytics adoption increases over time
  • Business questions are answered faster with less work

What Tactile Medical employees say

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