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Entry Level 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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How much do entry level business intelligence analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level business intelligence analyst in Minnesota is $37.83, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $47.31 per hour, depending on experience, location, and employer.

What is an entry level business intelligence analyst?

An Entry Level Business Intelligence Analyst collects, analyzes, and interprets data to help businesses make informed decisions. They use tools like SQL, Excel, and BI software (e.g., Power BI, Tableau) to create reports and dashboards. Their responsibilities often include data cleaning, identifying trends, and supporting business teams with insights. This role requires strong analytical thinking, problem-solving skills, and attention to detail. It is a great starting point for a career in data analytics or business intelligence.

What are some typical projects or tasks an entry level business intelligence analyst might work on?

As an Entry Level Business Intelligence Analyst, you can expect to work on tasks such as compiling and cleaning data from various sources, developing basic dashboards or reports, and performing ad-hoc data analysis to support business decisions. You'll typically collaborate closely with more experienced analysts, managers, and other departments to understand project requirements and translate business needs into data solutions. Over time, you'll gain exposure to more complex analyses and have opportunities to lead smaller projects as you develop your skills. This hands-on experience provides a strong foundation for career advancement within business intelligence or data analytics roles.

What are the key skills and qualifications needed to thrive in the entry level business intelligence analyst position, and why are they important?

To thrive as an Entry Level Business Intelligence Analyst, you need strong analytical abilities, proficiency in data interpretation, and a bachelor's degree in business, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Power BI, or Tableau is often required, and certifications in data analytics or BI platforms can be advantageous. Attention to detail, effective communication, and problem-solving skills help you translate complex data into actionable insights and work well within a team. These competencies are crucial for generating valuable business reports, supporting data-driven decisions, and contributing to organizational success.

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:

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Entry Level Business Intelligence Analyst jobs near you
Infographic showing various Entry Level 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 $78,696 per year, or $37.8 per hour.

Business Intelligence Analyst

Tactile Medical

Minneapolis, MN

Full-time

Posted 3 days ago

New

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

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