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Senior Intelligence Analyst Jobs in Minnesota (NOW HIRING)

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.

Onto

Senior Business Intelligence Analyst

Bloomington, MN · On-site

$104K - $156K/yr

Job Summary & Responsibilities We are looking for a highly skilled Data Analyst with deep experience in data modeling , Power BI , Microsoft Fabric , and Oracle ERP (R12 and/or Fusion) data ...

Abbott

Capital Service Analyst

Saint Paul, MN · On-site

... senior leadership by extracting valuable insights and making data-driven decisions for an organization. This role specializes in business analytics services such as business intelligence, market and ...

Abbott

Capital Service Analyst

Saint Paul, MN

... senior leadership by extracting valuable insights and making data-driven decisions for an organization. This role specializes in business analytics services such as business intelligence, market and ...

Abbott

Capital Service Analyst

Saint Paul, MN · On-site

... senior leadership by extracting valuable insights and making data-driven decisions for an organization. This role specializes in business analytics services such as business intelligence, market and ...

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Senior Intelligence Analyst information

See Minnesota salary details

$56.8K

$105.9K

$174.8K

How much do senior intelligence analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior intelligence analyst in Minnesota is $105,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,000.00 per year, depending on experience, location, and employer.

What does a senior intelligence analyst do?

A Senior Intelligence Analyst is responsible for gathering, evaluating, and interpreting data from various sources to provide actionable insights and recommendations to decision-makers. They analyze trends, assess threats, and produce detailed reports on security, geopolitical, or criminal activity, depending on their field. Senior Intelligence Analysts often lead teams, coordinate analytical projects, and ensure the accuracy and relevance of intelligence products. Their work supports organizations in making informed strategic, operational, or security decisions.

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

To thrive as a Senior Intelligence Analyst, you need strong analytical skills, experience in data interpretation, and often a degree in fields like international relations, political science, or criminal justice. Familiarity with intelligence analysis software, databases, and sometimes certifications like Certified Intelligence Analyst (CIA) are typically required. Excellent communication, critical thinking, and leadership abilities help you convey complex findings and guide junior analysts. These competencies are crucial for producing actionable intelligence that supports decision-making and national security objectives.

How does a senior intelligence analyst typically collaborate with other departments to support organizational objectives?

A Senior Intelligence Analyst works closely with various departments, such as operations, security, and executive leadership, to provide actionable insights and inform decision-making. This often involves participating in cross-functional meetings, sharing intelligence reports, and advising on potential risks or emerging threats. By fostering strong communication channels, analysts ensure that relevant information is disseminated efficiently, enabling teams to respond proactively to intelligence findings. This collaborative environment not only supports organizational goals but also enhances the overall security and strategic planning of the organization.

Does a senior intelligence analyst pay well?

Senior intelligence analysts typically earn higher salaries due to their experience and specialized skills in data analysis, threat assessment, and intelligence tools. Salaries can vary based on government or private sector employment, location, and security clearance requirements, but generally, the role offers competitive compensation within the intelligence community.

How much do senior intelligence analysts get paid?

Senior intelligence analysts typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and employer. They often require security clearances and proficiency with intelligence tools and data analysis software, which can influence compensation levels.

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

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

What are popular job titles related to Senior Intelligence Analyst jobs in Minnesota?

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

What job categories do people searching Senior Intelligence Analyst jobs in Minnesota look for?

The top searched job categories for Senior Intelligence Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Intelligence Analyst jobs?

Cities in Minnesota with the most Senior Intelligence Analyst job openings:

Senior Intelligence Analyst jobs near you
Infographic showing various Senior Intelligence Analyst job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,875 per year, or $50.9 per hour.

Sr Business Intelligence Analyst

Post Consumer Brands

Lakeville, MN • On-site

Full-time

Posted 16 days ago

Post Consumer Brands rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 443 rated food and drinks producers

Job description

Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Senior Business Intelligence Analyst
Location: Lakeville, MN (Hybrid, 3 days per week onsite)
Reports To: Manager, Business Intelligence
Please note: We do not sponsor employment visas now or in the future for this position. Candidates must be authorized to work in the United States without current or future sponsorship requirements on student VISAS.
Overview
Post Consumer Brands is seeking a highly technical and business-focused Senior Business Intelligence Analyst to join our Business Intelligence team. Reporting to the Manager of Business Intelligence, this role supports brand and customer teams across our grocery and pet businesses by partnering with stakeholders to understand analytical needs, design scalable reporting solutions, and deliver actionable insights that drive growth.
This position works across the full commercial data landscape, with a primary focus on consumption analytics, including syndicated measurement data (NielsenIQ and Circana), retailer point-of-sale data, consumer panel data (Numerator), sell-in and shipment data, and digital shelf/eCommerce sources such as Salsify, Profitero, and Stackline.
As a senior member of the team, you will own projects end-to-end, develop reusable data products, establish data quality and documentation standards, and mentor analysts on technical execution and industry best practices. We are seeking a technically strong candidate who can independently model, query, and optimize large-scale datasets while translating data into meaningful business recommendations. Experience within CPG or manufacturing is a strong plus but is secondary to technical expertise.
Key Responsibilities
  • Partner with sales, marketing, category management, and commercial teams to deliver analytics that support strategic business objectives.
  • Design, build, and maintain reusable datasets in Snowflake using dbt, integrating consumption, sell-in, and digital shelf/eCommerce sources into a trusted single source of truth.
  • Develop and maintain Sigma reporting and dashboards focused on delivering actionable business insights.
  • Support cross-functional business processes including:
    • Joint Business Planning
    • Category Stories
    • Customer and Channel Playbooks
    • Pricing and Trade Spend Management
    • Commercial Strategy
    • Commercialization
    • Integrated Business Planning
  • Conduct ad hoc analyses and provide recommendations to business stakeholders.
  • Ensure data accuracy, consistency, and governance while serving as the trusted source for commercial data insights.
  • Design and develop agentic AI solutions within Snowflake, enabling self-service analytics through semantic views and AI-powered agents.
  • Mentor analysts and contribute to advanced analytics and AI-enabled reporting initiatives.
  • Identify, lead, and implement opportunities to automate manual processes and improve team efficiency.
  • Collaborate closely with IT and data engineering partners to enhance data infrastructure and analytical capabilities.

Qualifications
Required Qualifications
Education
  • Bachelor's degree in Business, Data Science, Analytics, Information Systems, Statistics, or a related field.
  • Master's degree in Analytics, Data Science, Statistics, or a related discipline preferred.

Technical Skills
  • Advanced SQL skills with proven experience querying, joining, cleaning, and optimizing large datasets containing billions of rows.
  • Experience standardizing and managing complex identifiers such as UPCs and product hierarchies.
  • Hands-on experience with Snowflake or another modern cloud data warehouse.
  • Experience building transformation models using dbt or similar tools.
  • Strong dashboard development and visualization experience using Sigma, Tableau, or comparable BI platforms.
  • Strong analytical and problem-solving abilities with a demonstrated track record of translating data into business action.
  • Excellent communication and stakeholder management skills with the ability to influence diverse audiences.
  • Self-starter mindset with strong ownership, curiosity, and a passion for innovation and continuous improvement.

Preferred Qualifications
  • Experience working with syndicated and commercial data sources including NielsenIQ, Circana (IRI), Numerator, retailer POS data, and shipment/sell-in data.
  • Experience with digital shelf and eCommerce platforms such as Salsify, Profitero, or Stackline.
  • Familiarity with Sigma Computing.
  • Basic Python knowledge for analytics and automation.
  • Exposure to AI agents, semantic layers, semantic views, or AI-driven analytics solutions.
  • Knowledge of data governance and data quality practices.

Experience
  • Minimum of 3 years of analytics, business intelligence, data engineering, or related data-focused experience.
  • Demonstrated expertise in technical data management, modeling, reporting, and analysis.
  • 1 to 2 years of CPG, food, retail, manufacturing, or related industry experience preferred.
  • Familiarity with NielsenIQ, Circana, or similar syndicated data sources is a plus.
  • Proven ability to build strong relationships, influence stakeholders, and lead initiatives.
  • Demonstrated commitment to continuous improvement and data excellence.

Work Location
This position is based in Lakeville, Minnesota and follows a hybrid work schedule, requiring employees to work onsite three days per week.
The pay range for this position is $80,166 - $118,645 per year.

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