100+ Data & Analytics Jobs in Minneapolis, MN

The strongest local wage anchor is data scientist pay in the metro: the annual 25th percentile was $94,750, the median was $129,780, and the 75th percentile was $162,950 in 2025 BLS data. Recent posted pay across the broader Data, Analytics & AI sample centers on about $102k to $176k, with a broader band of about $92k to $211k; that posting sample is broader in titles and only covers jobs that disclosed compensation.

Full September 2026 market report

Advertised pay

Across the 110 openings that disclose pay, the advertised range midpoint runs $110,840 at the 25th percentile, $129,480 at the median and $155,288 at the 75th. These are advertised ranges, not earned pay.

Active openings as of October 17, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 125 openings.

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What our analysts see this month

Competitive market | next 3-6 months

This is a competitive market over the next 3-6 months, not a shutdown market. Revelio Public Labor Statistics shows Minnesota Data, Analytics & AI active postings up 31.4% year over year in September 2026, but employment in the field down 1.3% over the same period. In the metro, professional and business services employment rose 1.7696% year over year in August 2026 while information employment fell 7.0588%, so business-side analytics looks healthier than pure tech-facing teams. The local sample still shows more than 150 postings across more than 50 companies over the last 90 days, but only about 5% of openings are entry level and about 60% are hybrid.

Best positioned: Best odds go to mid-career or senior candidates who can pair Python and SQL with healthcare, retail, or enterprise analytics experience, especially in hybrid roles.

Main caution: Do not mistake higher posting volume for an easy market; the local mix is senior-heavy and the typical active posting has been open around 28 days, which means employers are being choosy rather than desperate.

From the September 2026 market report

Who is hiring here

Counted across all 125 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Optum: 14 open roles
2. Target Corp: 8 open roles
3. Boston Scientific Corporation: 6 open roles
4. Deloitte: 6 open roles
5. United Healthcare Corp.: 4 open roles
6. mn.gov: 3 open roles
7. On-Demand Group: 3 open roles
8. Roundel: 3 open roles
9. Tata Consultancy Services Limited: 3 open roles
10. University of Minnesota, Twin Cities: 3 open roles

Where the openings are

• Minneapolis: 45
• Eden Prairie: 16
• Minnetonka: 8
• Bloomington: 5
• Edina: 4
• Plymouth: 4
• Arden Hills: 4
• Saint Paul: 4

Work arrangement

hybrid 63 (51%), on-site 48 (39%), remote 12 (10%)

Where the demand is

The clearest concentration is healthcare and payer/provider analytics. In the local posting sample, hospitals and health care account for about 30% of openings, health care services & hospitals another about 15%, and healthcare another about 10%; Optum is the most visibly active named employer with more than 30 postings, plus Optum, Inc. with around 10. That lines up with broader headquarters signals pointing to UnitedHealth Group and other large local enterprises as recurring homes for analytics talent. A second pocket is retail and consumer analytics. Retail accounts for about 15% of sampled openings, and major local employers associated with analytics hiring include Target and Best Buy. A third pocket is enterprise BI, consulting, and public-sector modernization: business consulting contributes about 10% of sampled postings, metro professional and business services employment is up 1.7696% year over year, and the Metropolitan Airports Commission just created an assistant director of data and artificial intelligence role to lead enterprise data practice and AI use.

• Healthcare and payer/provider analytics (high): Best fit for candidates who can show outcomes in claims, care operations, forecasting, risk, or workflow analytics.
• Retail and consumer analytics (moderate): Good fit for SQL-heavy analysts and decision scientists who can work on merchandising, pricing, supply, or customer behavior problems.
• Consulting, enterprise BI, and public-sector data modernization (moderate): Useful lane for candidates who can combine dashboards, governance, stakeholder management, and light AI adoption work.

Where to focus: If you need the shortest path to interviews, start with healthcare and retail-adjacent analytics teams that want Python, SQL, dashboards, and business translation in hybrid settings.

Roles worth searching next

• Business analyst: It keeps you close to data work while reducing the bar on advanced modeling.
• Operations or supply chain analyst: Many of the same SQL, dashboard, forecasting, and optimization habits transfer cleanly.
• Risk or fraud analyst: Strong fit for candidates with quantitative thinking who want a clearer business use case.
• Market research analyst: It uses analysis, experimentation, and storytelling, especially for candidates with dashboard and survey skills.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 75% of sampled local postings, making it the default screening skill across analyst-to-AI roles. Who: Everyone in this category, especially entry-level candidates who need a clear technical baseline.
• SQL (table_stakes | immediate): SQL shows up in about 40% of sampled local postings and is also called out as a core skill for Upper Midwest data roles. Who: Everyone, but especially analysts and career switchers coming from business functions.
• Tableau / Power BI (differentiator | immediate): Dashboard tools are repeatedly listed among the most in-demand regional skills, especially for business-facing analytics work. Who: Entry-level and mid-career candidates targeting BI, reporting, or stakeholder-heavy roles.
• Machine learning and generative AI (premium | near-term): Machine learning appears in about 35% of sampled local postings and generative AI in about 25%, showing employers want more than reporting-only backgrounds. Who: Mid-career analysts moving up-market and data scientists who need to stay current.
• AWS / cloud data tooling (differentiator | near-term): AWS appears in about 20% of sampled postings, and cloud fluency pairs well with enterprise data teams moving AI into production. Who: Candidates targeting applied data science, analytics engineering, or platform-adjacent analytics roles.
• MLOps and CI/CD (premium | near-term): CI/CD appears in about 20% of postings and MLOps in about 15%, which is a sign that the better-paid roles expect deployment discipline, not just modeling. Who: Experienced data scientists and ML-oriented candidates who want senior or lead compensation.

Questions about this market

What do Data, Analytics & AI roles pay in Minneapolis-St. Paul-Bloomington, MN-WI?

The strongest local wage anchor is data scientist pay in the metro: the annual 25th percentile was $94,750, the median was $129,780, and the 75th percentile was $162,950 in 2025 BLS data. Recent posted pay across the broader Data, Analytics & AI sample centers on about $102k to $176k, with a broader band of about $92k to $211k; that posting sample is broader in titles and only covers jobs that disclosed compensation. This is a well-paid market relative to the local baseline: the broad computer and mathematical group averaged $54.52 per hour in the metro, versus $35.86 across all occupations. Minnesota's mean offered salary on new openings for the broader field was ~$114,903 in September 2026, above the state's all-occupations offered salary of ~$65,553.

Where is demand for Data, Analytics & AI roles in Minneapolis-St. Paul-Bloomington, MN-WI concentrated?

The clearest concentration is healthcare and payer/provider analytics. In the local posting sample, hospitals and health care account for about 30% of openings, health care services & hospitals another about 15%, and healthcare another about 10%; Optum is the most visibly active named employer with more than 30 postings, plus Optum, Inc. with around 10. That lines up with broader headquarters signals pointing to UnitedHealth Group and other large local enterprises as recurring homes for analytics talent. A second pocket is retail and consumer analytics. Retail accounts for about 15% of sampled openings, and major local employers associated with analytics hiring include Target and Best Buy. A third pocket is enterprise BI, consulting, and public-sector modernization: business consulting contributes about 10% of sampled postings, metro professional and business services employment is up 1.7696% year over year, and the Metropolitan Airports Commission just created an assistant director of data and artificial intelligence role to lead enterprise data practice and AI use.

Which employers are hiring the most Data, Analytics & AI talent in Minneapolis-St. Paul-Bloomington, MN-WI?

Recent postings show the most activity from Optum (30 postings), Optum, Inc. (10 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Minneapolis-St. Paul-Bloomington, MN-WI be done remotely?

Of recent postings, 10% are remote and 60% hybrid, with 25% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

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