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Associate Business Intelligence Analyst Jobs in Minnesota

3M

Business Intelligence Analyst

Maplewood, MN

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

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

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 JobsAssociate Business Intelligence Analyst JobsAssociate Business Intelligence Analyst Jobs in Minnesota

Associate Business Intelligence Analyst information

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$10

$31

$49

How much do associate business intelligence analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate business intelligence analyst in Minnesota is $31.66, according to ZipRecruiter salary data. Most workers in this role earn between $24.95 and $37.69 per hour, depending on experience, location, and employer.

What does an associate business intelligence analyst do?

An Associate Business Intelligence Analyst supports data-driven decision making within an organization by collecting, analyzing, and presenting data. They use various tools and software to create reports, dashboards, and visualizations that help identify trends, measure performance, and provide actionable insights. Typically, they work closely with business teams to understand their data needs and assist in optimizing processes based on analytical findings. This role is often entry-level or early-career, providing foundational experience in business analytics and intelligence. Strong communication and technical skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as an associate business intelligence analyst?

To thrive as an Associate Business Intelligence Analyst, you need a solid foundation in data analysis, statistical methods, and business acumen, typically supported by a degree in business, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes introductory experience with Python or R is highly valuable, as are relevant certifications. Strong communication, problem-solving, and attention to detail help translate data insights into actionable business recommendations. These skills ensure the analyst can effectively support decision-making and contribute to organizational growth through data-driven insights.

What are typical projects an associate business intelligence analyst might work on in their first year?

In your first year as an Associate Business Intelligence Analyst, you’ll likely be involved in projects such as building dashboards, conducting data validation, and assisting in the preparation of regular business reports. You may work closely with senior analysts and business teams to gather requirements, clean and analyze data, and present findings that help drive business decisions. These projects offer a strong foundation in both the technical and business aspects of BI, and provide valuable exposure to the company’s data infrastructure and analytics tools.

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

AspectAssociate Business Intelligence AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in IT, Data Science, or related field; basic knowledge of SQL and data visualization toolsBachelor's or master's degree; stronger proficiency in SQL, data modeling, and analytics tools
Work EnvironmentEntry-level role, often in team settings, supporting data analysis tasksMore independent, responsible for designing reports, analyzing data, and providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and retail sectorsWidely used across similar industries, often with more complex projects

The main difference between an Associate Business Intelligence Analyst and a Business Intelligence Analyst lies in experience and responsibility. The associate role is typically entry-level, focusing on supporting data tasks, while the analyst role involves more independent analysis and decision-making. Both roles require similar educational backgrounds and technical skills, but the analyst position demands greater expertise and project ownership.

How much does an associate business intelligence analyst get paid?

An associate business intelligence analyst typically earns a salary ranging from $55,000 to $75,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while those with specialized skills in data analysis tools like SQL or Tableau can earn higher compensation.

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

The most popular types of Business Intelligence Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Associate Business Intelligence Analyst jobs?

Cities in Minnesota with the most Associate Business Intelligence Analyst job openings:

Associate Business Intelligence Analyst jobs near you
Infographic showing various Associate Business Intelligence Analyst job openings in Minnesota as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,855 per year, or $31.7 per hour.

Business Intelligence Analyst

Minneapolis, MN

Tactile Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

People enjoy working here

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Learn more about Tactile Medicalexternal

Full-time

Posted 3 days ago

New

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

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