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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 ...

Target

Senior Fraud Intelligence Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

As a Senior Cybersecurity Analyst on the Cyber Fraud Intelligence team, you will provide daily support related to the tracking and analysis of prioritized fraud threats that may pose a risk to Target.

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

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 JobsIntelligence Analyst JobsIntelligence Analyst Jobs in Minnesota

Intelligence Analyst information

See Minnesota salary details

$21.1K

$80.8K

$146.9K

How much do intelligence analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for intelligence analyst in Minnesota is $80,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What is an intelligence analyst?

Intelligence analysts are employed by government or law enforcement agencies, the military, or private organizations to analyze data and other information and to identify and prevent potential threats. Assignments may be daily tasks or long-term projects. As an intelligence analyst, you must be able to decipher information from a variety of sources and analyze it within the context of the source and other related facts. You break down the analysis into assessments and recommendations to leadership departments. Intelligence analysts work in the office and often out in the field.

What are the key skills and qualifications needed to thrive as an intelligence analyst, and why are they important?

To thrive as an Intelligence Analyst, you need strong analytical abilities, critical thinking, and a background in fields such as international relations, political science, or security studies, often supported by a relevant degree and security clearance. Familiarity with intelligence databases, data visualization tools, and analytical software like Palantir or i2 Analyst’s Notebook is typically required. Exceptional attention to detail, discretion, and effective communication skills set outstanding analysts apart. These competencies are vital for accurately assessing information, producing actionable intelligence, and supporting decision-makers in high-stakes environments.

What are some common challenges intelligence analysts face when synthesizing information from multiple sources?

Intelligence Analysts often work with vast amounts of data from diverse sources, which can sometimes be incomplete, conflicting, or rapidly changing. A major challenge is ensuring the accuracy and relevance of information while filtering out noise and minimizing cognitive bias. Effective collaboration with colleagues from other departments and clear communication of findings are essential to overcome these challenges and provide actionable intelligence to decision-makers.

What is the difference between Intelligence Analyst vs Security Analyst?

AspectIntelligence AnalystSecurity Analyst
Required CredentialsBachelor's degree in criminal justice, international relations, or related field; often certifications like CISSP or GIACBachelor's degree in cybersecurity, information technology, or related; certifications like CompTIA Security+ or CISSP
Work EnvironmentGovernment agencies, defense, intelligence communityCorporate IT departments, security firms, government agencies
Industry UsageIntelligence and defense sectorsCybersecurity and corporate security
Common Search/ComparisonYesYes

Intelligence Analysts focus on gathering and analyzing information related to national security, threats, and intelligence operations. Security Analysts primarily protect organizational IT systems from cyber threats and security breaches. While both roles require analytical skills and relevant certifications, their work environments and industry focus differ significantly.

What exactly do intelligence analysts do?

Intelligence analysts gather, evaluate, and interpret information from various sources to support national security, law enforcement, or military operations. They analyze data using specialized tools and techniques to identify threats, trends, or patterns, often producing reports for decision-makers. Strong analytical skills, attention to detail, and knowledge of security protocols are essential in this role.

What is the role of an intelligence analyst?

An intelligence analyst evaluates data from various sources to identify threats, trends, and patterns relevant to national security, law enforcement, or corporate interests. They use analytical tools and critical thinking skills to produce reports that inform decision-making and strategic planning.
More about Intelligence Analyst jobs

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

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Intelligence Analyst jobs near you
Infographic showing various Intelligence Analyst job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,756 per year, or $38.8 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

Good employer

Respectful managers

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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