Is Data, Analytics & AI a Good Job Market in Minneapolis-St. Paul-Bloomington, MN-WI?

Executive Verdict

Market rating: competitive | Confidence: Medium

This is a competitive but still worthwhile market if you can target large employers with clear domain fit. In the last 90 days, we observed more than 150 local postings across more than 75 companies, and the sample is fragmented rather than dominated by a single employer.[20][21] Demand is concentrated in healthcare at about 55% of postings, with retail at about 15%, and the seniority mix skews experienced at about 40% senior and about 10% lead+.[3][1] Statewide occupation data shows Minnesota Data, Analytics & AI employment down 1.3% year-over-year even as active postings are up 18.2%, which points to selective hiring rather than an easy boom.[12][13]

Best positioned: You have the best odds if you already bring Python, SQL, and machine-learning fluency and can tie that work to healthcare, retail experimentation, or enterprise analytics teams.[3][2][5]

Main caution: The biggest trap is assuming high posted salaries mean broad access: only about 15% of sampled roles are entry level, about 10% are remote, and less than 5% of postings that state a policy mention visa sponsorship.[1][15][16]

What Changed Recently

• Minnesota's Data, Analytics & AI market shows a split signal: employment is down 1.3% year-over-year, but active postings are up 18.2% year-over-year as of July 2026.[12][13]: That usually means employers are still opening roles, but they are filling them selectively rather than expanding headcount broadly.
• Fresh employer signals in early August show continued activity from major local brands: UnitedHealth Group listed 15 Minnesota business-and-data analytics results, and Target posted a Minneapolis data-analyst role focused on experimentation, ML, math, and stats with a $69,800-$125,700 range.[8][5]: The live market is still moving, but the jobs being advertised lean toward domain-aware analytics rather than generic reporting.
• Nationally, job openings reached 7,359 thousand in June 2026, up 2.1516% year-over-year, while hires were 5,348 thousand, up just 0.3942% year-over-year.[11][23]: For Minneapolis applicants, that means openings are available, but employers are not converting them into hires fast enough to make this an easy market.
• The local market backdrop improved outside this category too: the Twin Cities gained 29,500 jobs in the year ending June 2026 and ranked among the top 10 U.S. metros for job gains on one major metro tracker.[24]: That broader hiring base supports analytics demand inside healthcare, retail, and enterprise functions, even if the category itself remains selective.
• A July 30 WARN notice from Pearson's Candy Company affected 80 employees in St. Paul, with the layoff period listed for September 28, 2026.[22]: It is not an analytics-specific signal, but it is a reminder that local demand still depends on employer health and cost discipline.

What This Means for You

Entry-Level Candidates

Difficulty: High: only about 15% of sampled roles are entry level, and employers most often ask for Python, SQL, and sometimes machine learning rather than spreadsheet-only analysis.[1][2]

Best target: Aim for healthcare reporting, retail experimentation support, and public-sector analyst roles where a bachelor's degree and a tight project portfolio can outweigh years of experience.[3][4][5]

Biggest mistake: Relying on certificates alone or applying mostly to senior-titled jobs when certifications are rarely specified and the market skews experienced.[6][1]

Next step: Build two local-fit portfolio pieces in the next month: one healthcare KPI dashboard and one experimentation or forecasting project using SQL, Python, and Power BI.[3][2][5]

Mid-Career Candidates

Difficulty: Moderate: there is real demand, but it is concentrated in enterprise employers and senior roles.[7][1]

Best target: Target enterprise healthcare, payer, hospital, and retail analytics teams where you can show domain outcomes, not just tool knowledge.[3][8][5]

Biggest mistake: Positioning yourself as a generic analyst instead of showing a clear lane such as experimentation, machine learning, BI, or operational decision support.[2][5]

Next step: Rewrite your resume around measurable outcomes in Python, SQL, ML, and stakeholder impact, then apply in two tracks: healthcare analytics first and retail experimentation second.[3][2][5]

Career Switchers

Difficulty: High: this market offers opportunities, but the easiest entry is through domain transfer rather than a cold switch into pure analytics titles.

Best target: Pursue analyst roles closest to your existing industry, especially healthcare operations, retail performance, or public-sector program analysis, because those lanes align with the metro's current demand mix.[3]

Biggest mistake: Trying to compete head-to-head for data-science-style openings without proof of SQL, Python, and business problem framing.[2]

Next step: Turn your current domain into evidence: build one project using your industry's metrics, then map it to the local skill baseline of SQL, Python, visualization, and decision support.[2]

Salary Reality

high pay highly concentrated

Observed local posted salary ranges for the category center on about $98k to $176k, and a current Target data-analyst posting showed $69,800-$125,700.[18][5] Estimated or proxy figures are wider: Levels.fyi puts local data-analyst median total compensation at $80,000, Randstad estimates Minneapolis data analysts at $125,717 on average, and a data-scientist proxy based on the BLS May 2025 release reports a $129,780 metro median.[25][26][27]

This is a market with real six-figure upside, but the better pay appears concentrated in experienced roles and specialized tracks rather than spread evenly across all analyst openings.[18][1]

The tradeoff is access: about 50% of sampled postings come from enterprise employers, about 60% are hybrid rather than fully remote, and entry-level roles are a minority.[7][15][1]

Best-paying path: The strongest pay signals tend to sit in senior analytics, data science, and engineering-adjacent work, where local or state proxies cluster around the low-to-mid six figures.[18][28][27]

Caution: Do not read the top end as typical: salary aggregators disagree, some figures are estimates rather than posted ranges, and the local sample skews toward senior roles.[25][26][1]

Where the Opportunities Are Concentrated

Most of the real opportunity is in large healthcare-linked employers. In the sampled local market, healthcare accounts for about 55% of Data, Analytics & AI postings and another about 10% comes from health care services and hospitals, while Optum was the most consistently active named employer with more than 30 postings in the sample.[3][14] UnitedHealth Group also showed 15 Minnesota business-and-data analytics openings in early August, reinforcing that payer, care-delivery, and enterprise analytics work is the core local lane.[8] Retail is the clearest second lane. About 15% of sampled demand sits in retail, and Target's Minneapolis data-analyst posting emphasized digital experimentation, ML, math, and stats rather than basic reporting alone.[3][5] Government/public sector and financial services appear in the sample, but at about 5% each they look more like targeted side doors than the main volume path.[3]

• Enterprise healthcare analytics (high): This is the metro's main hiring lane, with roughly two-thirds of sampled demand tied to healthcare or hospitals and named activity centered on Optum and UnitedHealth Group.[3][14][8]
• Retail and digital experimentation (moderate): Retail is a meaningful secondary lane, and Target's current role shows demand for experimentation, ML, and math/stats in consumer analytics work.[3][5]
• Public sector and regulated enterprise work (limited): Government and public-sector roles are only about 5% of the sampled market, but the Minneapolis federal pay area carries a 27.62% locality adjustment and can offer a clearer salary ladder than some private postings.[3][17]

Where to focus: Prioritize enterprise healthcare and consumer analytics teams, then use retail experimentation roles as your second wave of applications.

Skills and Credentials Worth Pursuing

• Python (table stakes): Python appears in about 75% of sampled postings, making it the clearest baseline filter in this market.[2]
• SQL (table stakes): SQL shows up in about 50% of sampled postings and is still the core language for analytics delivery, reporting, and stakeholder trust.[2]
• Machine learning (differentiator): Machine learning appears in about 30% of sampled postings, and local named roles increasingly want more than dashboard maintenance.[2]
• Experimentation and math/stats (differentiator): A current Target role in Minneapolis explicitly centers experimentation, ML, math, and stats, which is a strong signal for digital and product-adjacent analytics work.[5]
• Generative AI (differentiator): Generative AI appears in about 25% of sampled postings, suggesting employers want analysts who can use new tools responsibly inside existing workflows.[2]
• Power BI and data visualization (table stakes): Power BI and data visualization each appear in about 15% of sampled postings, so they remain useful for turning technical work into decisions.[2]
• AWS and light CI/CD literacy (premium): AWS and CI/CD each appear in about 15% of sampled postings, which matters most for analytics-engineering and production-minded roles.[2]

Adjacent Roles to Consider

• Healthcare operations analyst (bridge): Local demand is heavily healthcare-weighted, so domain knowledge can transfer well when the title shifts away from pure data roles.[3]
• Digital business analyst (both): Retail is the metro's clearest secondary lane, and experimentation-led hiring at Target points to overlap with business-side digital optimization work.[3][5]
• Program analyst in government or public sector (pivot): Government/public sector is a smaller but visible part of the local mix, and the federal pay structure provides clearer ladders than many private listings.[3][17]
• Risk or financial analyst (both): Financial services is a smaller local lane, but it still rewards SQL, Python, and decision-support skills that overlap with this category.[3][2]

30 / 60 / 90-Day Plan

First 30 Days

• Split your resume into two versions: healthcare enterprise analytics and retail experimentation, and move Python, SQL, ML, visualization, and business outcomes to the top of each version.[3][2][5]
• Build two portfolio pieces that match the metro: one healthcare KPI or claims-style dashboard and one experimentation or forecasting case study.[3][5]
• Create a target list led by Optum, UnitedHealth Group, and Target, and accept hybrid work as the default because about 60% of sampled roles are hybrid and only about 10% are remote.[14][15][8][5]
• If you need sponsorship, add an early screening step because less than 5% of postings that state a policy mention visa sponsorship.[16]

Days 31-60

• Apply selectively to roles where you match at least three of the local filters: Python, SQL, machine learning, generative AI, Power BI or visualization, and AWS or CI/CD literacy.[2]
• Do not spend this window collecting random certificates; instead, rewrite projects and past work into healthcare, retail, or enterprise KPI language because certifications are rarely specified in postings.[3][6]
• Practice interview stories around experimentation, prioritization, and decision impact, not just report building, because named local demand is leaning that way.[5]
• Expand your search to Minnesota-wide employer career sites when appropriate, because some major employers advertise analytics opportunities at the state level rather than only by metro.[8]

Days 61-90

• If pure analytics titles are not converting, pivot into adjacent roles in healthcare operations, digital business analysis, or public-sector program analysis while keeping SQL and Python visible.[3][2][17]
• Reset salary expectations by lane: one current local analyst posting shows $69,800-$125,700, while broader category postings center higher at about $98k to $176k.[5][18]
• If you are early career, prioritize internships, contract-to-hire, or analyst-support roles first because only about 15% of sampled openings are entry level.[1]
• Audit your funnel against posting age every week; the typical active local posting has been open around 25 days, so stale applications should not dominate your time.[19]

Methodology and Confidence

This July 2026 report was generated on August 10, 2026. Latest direct national data: July 2026. Latest direct Minneapolis-St. Paul-Bloomington, MN-WI data: July 2026.

Confidence: Overall confidence: Medium. Direct metro evidence exists, but the freshest occupation-specific local picture depends heavily on recent employer signals and state-level occupation data.

Limitations

• The newest direct local occupation-specific pay benchmark in this report is from January 2026, so the most current read on hiring conditions comes from August employer postings and July broader labor-market indicators rather than fresh metro occupation census data.
• This category combines several sub-roles—such as data analysts, BI analysts, data scientists, analytics engineers, and AI-focused roles—so pay and difficulty can vary a lot depending on whether you are targeting reporting work, experimentation, or more technical model-driven jobs.
• Some salary figures here come from employer postings or salary aggregators, not a single official wage survey, which is why local analyst pay appears in a wide band rather than one clean market rate.
• The Callings.ai job database is a partial, deduplicated sample of online postings, so direction of demand, leading employer names, and skill patterns are more reliable than exact counts or exact market shares.
• Statewide occupation data was used as a proxy where metro-level occupation trend data was not available, and several year-over-year government indicators are preliminary and may later be revised.

References

1. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
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3. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
4. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
5. Corporate. Data Analyst - Digital & E-commerce (experimentation, ML, Math/Stats) at TARGET · 2026-08 · corporate.target.com
6. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
7. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
8. Careers. Search our Job Opportunities at UnitedHealth Group · 2026-08 · careers.unitedhealthgroup.com
9. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-04 · data.bls.gov
10. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-07 · data.bls.gov
11. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
12. Reveliolabs. Employment — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
13. Reveliolabs. Job Openings — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
14. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
15. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
16. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
17. Opm. Opm - locality_pay_pct · 2026-01 · opm.gov
18. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
19. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
20. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
21. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
22. Mn. Radware Bot Manager Captcha · 2026-07 · mn.gov
23. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
24. Realpage. Metro Jobs June 2026 · 2026-08 · realpage.com
25. Levels. Levels - median_wage_annual · 2026-03 · levels.fyi
26. Randstadusa. data analyst salaries in minneapolis, minnesota | Randstad USA · 2026-08 · randstadusa.com
27. Elevatedtech. Data Scientist Salary in Minneapolis-St. Paul-Bloomington (2026): $129,780 Median, $129,320 Mean · 2026-01 · elevatedtech.us
28. Reveliolabs. Salaries — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com

Live Openings in This Market

This report is published monthly; its companion page tracks the active Data, Analytics & AI openings in Minneapolis-St. Paul-Bloomington, MN-WI from the live Callings.ai job index. Browse current Data, Analytics & AI openings in Minneapolis-St. Paul-Bloomington, MN-WI.