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Tech Talent Dashboard
Introduction
One of MnTech’s key pillars of focus is Talent for a reason: Demand for tech talent in Minnesota continues to exceed supply, and tech occupations continue to provide higher than average wages for Minnesotans. MnTech hopes to use this platform to define what a healthy tech ecosystem looks like, define what jobs are most in demand and the skills needed for those roles, and define where there are gaps in the tech talent ecosystem that need to be addressed. Unless otherwise noted, the measures below capture the tech occupations across the state of Minnesota.
Number of employers in Minnesota advertising for a tech occupation job, and therefore competing for the same talent
2,872
Tech Occupation Jobs (Ex. a software developer at a company in any industry)
107,502
Tech Industry Jobs (Any job at a tech sector company)
147,655
MN tech cluster occupation jobs are projected to increase 7% from 2024-2028 vs. the national projected growth rate of 12.0%. Regional job concentration per capita for MN Tech SOC cluster is 1.10 times the national job concentration, ie. there are 10% more MN Tech cluster jobs in this region than we would expect to find in the average region.
7%
Median Salary for MN Tech cluster occupation jobs (vs. $55K MN Avg.) MN Tech cluster jobs increased 2% from 2018-2023 vs. the national growth rate of 13% for this occupation group.
$101,582
Median Salary for Tech Industry Jobs (vs. $173K National Avg.). Tech industry jobs in MN are projected to grow 5% over the next 5 years (2024 - 2028). MN is about average for this kind of talent. The national average for an area this size is 160K jobs. MN avg. earnings among all industries is $84.2K vs. national avg. $84.8K.
$144,960
Tech Industry Contribution to Minnesota Gross Regional Product
$35.7 Billion
Tech Workforce Demographics
Statistics based around INDUSTRY reference all jobs at a tech related company and use NAICS (North American Industry Classification System) codes. An example would be a warehouse worker employed at tech company Amazon. Statistics based around OCCUPATION reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes. An example would be a software engineer working at a financial institution or software company. Statistics based around TECH WORKFORCE reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes.
Leading Tech Industry Occupations
Top Minnesota Tech Industry Occupations
% of Industry in Occupation (2023)
Tech Demographics
Age Distribution of Minnesota Tech Workforce Size by Occupation
Click dropdown window to select occupation
MN Tech Occupations by Race/Ethnicity
Minneapolis, St. Paul MSA Tech Workforce Distribution by Race
Hover to display values
% White
% Black
% Hispanic
% Asian
% American Indian or Alaska Native
% Native Hawaiian or Other Pacific Islander
% 2 or More Races
Minneapolis, St. Paul MSA Tech Workforce Distribution by Age
% Age 14-18
% Age 19-21
% Age 22-24
% Age 25-34
% Age 35-44
% Age 45-54
% Age 55-64
% Age 65+
Total Race Diversity of Tech Occupations
25%
Total Gender Diversity of Tech Occupations
27%
Gender Mix of Minnesota Tech Workforce by Occupation
Data Sortable by Column (click header)
| Description | Males % of Occupation | Females % of Occupation | Gender Gap |
|---|---|---|---|
| Computer and Information Systems Managers | 70% | 30% | 40% |
| Computer Systems Analysts | 61% | 39% | 22% |
| Information Security Analysts | 80% | 20% | 60% |
| Computer and Information Research Scientists | 70% | 30% | 40% |
| Computer Network Support Specialists | 72% | 28% | 44% |
| Computer User Support Specialists | 72% | 28% | 44% |
| Computer Network Architects | 86% | 14% | 72% |
| Database Administrators | 62% | 38% | 24% |
| Database Architects | 63% | 37% | 26% |
| Network and Computer Systems Administrators | 80% | 20% | 60% |
| Computer Programmers | 76% | 24% | 52% |
| Software Developers | 79% | 21% | 58% |
| Software Quality Assurance Analysts and Testers | 71% | 29% | 42% |
| Web Developers | 65% | 35% | 30% |
| Web and Digital Interface Designers | 61% | 39% | 22% |
| Computer Occupations, All Other | 70% | 30% | 40% |
| Computer Hardware Engineers | 83% | 17% | 66% |
Gender Mix of Minneapolis St. Paul MSA Tech Workforce by Occupation
Data Sortable by Column (click header)
| Description | Males % of Occupation | Females % of Occupation |
|---|---|---|
| Computer and Information Systems Managers | 69.54% | 30.46% |
| Transportation, Storage, and Distribution Managers | 79.74% | 20.26% |
| Architectural and Engineering Managers | 90.1% | 9.9% |
| Natural Sciences Managers | 45.85% | 54.15% |
| Computer Systems Analysts | 61.29% | 38.71% |
| Information Security Analysts | 79.28% | 20.72% |
| Computer and Information Research Scientists | 71.85% | 28.15% |
| Computer Network Support Specialists | 71.91% | 28.09% |
| Computer User Support Specialists | 71.66% | 28.34% |
| Computer Network Architects | 86.06% | 13.94% |
| Database Administrators | 61.83% | 38.17% |
| Database Architects | 63.67% | 36.33% |
| Network and Computer Systems Administrators | 78.95% | 21.05% |
| Computer Programmers | 76.22% | 23.78% |
| Software Developers | 79.21% | 20.79% |
| Software Quality Assurance Analysts and Testers | 72.55% | 27.45% |
| Web Developers | 63.91% | 36.09% |
| Web and Digital Interface Designers | 62.37% | 37.63% |
| Computer Occupations, All Other | 69.27% | 30.73% |
| Computer Hardware Engineers | 82.92% | 17.08% |
Tech Talent, Jobs, & Earnings
334,862 MN Residents Working Remotely (All Occupations)
11.7%
MN Median Age (vs. 38 National Avg.)
38
Long-Term Trend
Tech Job Postings
Job Postings 5-Year Trend
MN Tech Cluster Job Postings (hover to display values)
Current Job Postings by Educational Attainment
MN Tech Cluster Job Postings
Earnings
Tech Sector Earnings Comparison by State
Tech Wage Ranges by Occupation (25th-75th Percentile)
Annual Earnings by Tech Occupation in Minnesota
Architectural and Engineering Managers
$129,714
$181,112
Computer and Information Systems Managers
$121,807
$173,301
Natural Sciences Managers
$104,624
$169,374
Computer Network Architects
$99,026
$139,018
Database Architects
$97,259
$137,246
Computer and Information Research Scientists
$100,914
$136,989
Software Developers
$93,795
$136,584
Transportation, Storage, and Distribution Managers
$73,579
$131,601
Computer Systems Analysts
$81,573
$127,637
Database Administrators
$73,491
$121,110
Computer Programmers
$75,729
$114,453
Software Quality Assurance Analysts and Testers
$76,270
$109,851
Network and Computer Systems Administrators
$75,780
$108,567
Web and Digital Interface Designers
$47,284
$100,310
Computer Network Support Specialists
$59,057
$86,297
Computer User Support Specialists
$48,357
$75,818
Desktop Publishers
$40,911
$64,738
Jobs & Commuting
Tech Worker Commuting Patterns by Top 20 Tech Job Counties
Hover to display values
2023 Jobs
2023 Resident Workers
2023 Net Commuters
Top 20 Remote Worker Counties in Minnesota
| County | % Remote Workers |
|---|---|
| Rice County | 16% |
| Lincoln County | 15.9% |
| Carver County | 15.7% |
| Hennepin County | 15.3% |
| Traverse County | 14.6% |
| Washington County | 14.6% |
| Nicollet County | 13.8% |
| Cook County | 13.6% |
| Lac qui Parle County | 13.1% |
| Ramsey County | 12.7% |
| Grant County | 12.5% |
| Scott County | 12.5% |
| Dakota County | 12.4% |
| Marshall County | 11.5% |
| Kittson County | 11.1% |
| Anoka County | 10.7% |
| Redwood County | 10.7% |
| Lake County | 10.3% |
| Mahnomen County | 10.3% |
| Becker County | 10.2% |
| Hubbard County | 10.2% |
Top 10 Tech Occupations by Job Profile Count
Tech Occupation Cluster Job Profiles
LowHigh
| Occupation (SOC) | Profiles | Percent |
|---|---|---|
| Software Developers | 24,678 | 26.09% |
| Computer User Support Specialists | 13,372 | 14.14% |
| Computer and Information Systems Managers | 13,087 | 13.84% |
| Computer Systems Analysts | 10,778 | 11.39% |
| Computer Occupations, All Other | 10,209 | 10.79% |
| Network and Computer Systems Administrators | 7,054 | 7.46% |
| Web Developers | 3,869 | 4.09% |
| Information Security Analysts | 3,579 | 3.78% |
| Software Quality Assurance Analysts and Testers | 2,987 | 3.16% |
| Computer Programmers | 1,378 | 1.46% |
Top Hard Skills Companies Are Looking For
Tech Occupation Cluster Job Profiles
| Skill | Frequency in Job Postings | Frequency in Candidates | Skill Gap |
|---|---|---|---|
| Computer Science | 17% | 1% | -16% |
| Project Management | 16% | 17% | 1% |
| SQL (Programming Language) | 13% | 12% | -1% |
| Agile Methodology | 13% | 9% | -4% |
| Automation | 11% | 5% | -6% |
| Software Engineering | 11% | 12% | 1% |
| Software Development | 9% | 11% | 2% |
| Microsoft Azure | 9% | 2% | -7% |
| Python (Programming Language) | 8% | 5% | -3% |
| Workflow Management | 7% | 3% | -4% |
| Business Requirements | 7% | 2% | -5% |
| Technical Support | 7% | 7% | 0% |
| Java (Programming Language) | 7% | 8% | 1% |
| Application Programming Interface (API) | 7% | 3% | -4% |
| Business Process | 7% | 4% | -3% |
| Scalability | 7% | 1% | -6% |
| Amazon Web Services | 7% | 2% | -5% |
| Data Analysis | 7% | 7% | 0% |
| CI/CD | 6% | 1% | -5% |
| JavaScript (Programming Language) | 6% | 7% | 1% |
Employers
Employers
Top 10 Tech Employers by Social Profile Count
| Company | Profiles | Percent |
|---|---|---|
| Target | 1,992 | 2.11% |
| Medtronic | 1,766 | 1.87% |
| UnitedHealth Group | 1,681 | 1.78% |
| Mayo Clinic | 1,670 | 1.77% |
| US Bank | 1,624 | 1.72% |
| Optum | 1,383 | 1.46% |
| Wells Fargo | 1,249 | 1.32% |
| 3M | 1,222 | 1.29% |
| University of Minnesota | 974 | 1.03% |
| Best Buy | 934 | 0.99% |
Self-reported employer of tech occupation workforce sourced from online social profile (Linkedin).
Top 20 Companies Currently Hiring
Data Sortable by Column (click header)
| Company | Latest 30 Days Unique Postings | Latest 30 Days Unique Postings % Change | Latest 30 Days # Postings Change |
|---|---|---|---|
| University of Minnesota | 163 | -3.7% | -6 |
| State of Minnesota | 129 | -6.2% | -8 |
| Mayo Clinic | 84 | -20.2% | -17 |
| Securian Financial | 74 | -12.2% | -9 |
| US Bank | 55 | 10.9% | 6 |
| Cpp Minneapolis Operation | 46 | 13% | 6 |
| Best Buy | 39 | 20.5% | 8 |
| Target | 33 | 0% | 0 |
| UnitedHealth Group | 32 | -40.6% | -13 |
| Medtronic | 30 | -16.7% | -5 |
| Wells Fargo | 30 | 10% | 3 |
| Ecolab | 28 | 28.6% | 8 |
| Marriott International | 28 | -10.7% | -3 |
| Fastenal | 27 | 25.9% | 7 |
| Innova Solutions USA | 27 | -3.7% | -1 |
| Accenture | 26 | -26.9% | -7 |
| Toro | 26 | 23.1% | 6 |
| Wipro | 25 | -36% | -9 |
| Boston Scientific | 24 | -12.5% | -3 |
| Deloitte | 24 | -8.3% | -2 |
Job Supply & Demand
Job Postings vs. Hiring by Tech Occupation
| Occupation | Avg Monthly Postings (Mar 2023 - Feb 2024) | Avg Monthly Hires (Mar 2023 - Feb 2024) | Gap |
|---|---|---|---|
| Software Developers | 800 | 1,170 | 370 |
| Computer Occupations, All Other | 532 | 173 | -359 |
| Computer User Support Specialists | 352 | 474 | 122 |
| Computer Systems Analysts | 279 | 376 | 97 |
| Web Developers | 112 | 81 | -31 |
| Software Quality Assurance Analysts and Testers | 120 | 88 | -32 |
| Database Administrators | 134 | 44 | -90 |
| Information Security Analysts | 119 | 111 | -8 |
| Network and Computer Systems Administrators | 99 | 132 | 33 |
| Database Architects | 73 | 21 | -52 |
Tech Workforce Concentration and Migration
Top 20 Minnesota Cities with Tech Job Profiles
Social Profiles in Tech Occupations
| City | Profiles | Percent |
|---|---|---|
| Minneapolis, MN | 44,725 | 47.28% |
| Saint Paul, MN | 13,166 | 13.92% |
| Rochester, MN | 2,799 | 2.96% |
| Eden Prairie, MN | 2,562 | 2.71% |
| Duluth, MN | 1,329 | 1.41% |
| Lakeville, MN | 1,045 | 1.1% |
| Hopkins, MN | 976 | 1.03% |
| St. Cloud, MN | 971 | 1.03% |
| Burnsville, MN | 916 | 0.97% |
| Shakopee, MN | 818 | 0.86% |
| Osseo, MN | 791 | 0.84% |
| Mankato, MN | 765 | 0.81% |
| Maple Grove, MN | 688 | 0.73% |
| Minnetonka, MN | 572 | 0.6% |
| Savage, MN | 569 | 0.6% |
| Andover, MN | 540 | 0.57% |
| Chaska, MN | 515 | 0.54% |
| Cottage Grove, MN | 510 | 0.54% |
| Prior Lake, MN | 509 | 0.54% |
| Rosemount, MN | 492 | 0.52% |
Tech Education Pipeline
Education Attainment
Minnesota Tech Workforce by Education Institution Affiliation
School Affiliation in MN Tech Cluster Occupation Profiles
| School | Profiles | Percent |
|---|---|---|
| University of Minnesota-Twin Cities | 16,423 | 17.36% |
| University of Saint Thomas (Minnesota) | 5,471 | 5.78% |
| Saint Cloud State University | 4,490 | 4.75% |
| Minnesota State University, Mankato | 4,085 | 4.32% |
| Metropolitan State University | 3,479 | 3.68% |
| University of Minnesota Duluth | 3,048 | 3.22% |
| Carlson School of Management | 2,153 | 2.28% |
| University of Wisconsin-Madison | 1,800 | 1.9% |
| Normandale Community College | 1,743 | 1.84% |
| North Dakota State University | 1,717 | 1.82% |
Top 10 Minnesota Educational Institutions by Tech Program Completion
STEM Programs
| UNITID | Description | All Programs 2021 Completions | % Completions Change (2011-2021) |
|---|---|---|---|
| 174,066 | University of Minnesota-Twin Cities | 4,196 | 0.41% |
| 174,233 | University of Minnesota-Duluth | 788 | 0.68% |
| 174,914 | University of St Thomas | 725 | 1.17% |
| 174,783 | Saint Cloud State University | 598 | 0.64% |
| 173,920 | Minnesota State University-Mankato | 503 | 0.66% |
| 413,413 | Capella University | 490 | -0.07% |
| 173,708 | Hennepin Technical College | 441 | 0.34% |
| 174,020 | Metropolitan State University | 318 | 1.69% |
| 174,136 | Minneapolis Community and Technical College | 259 | 1.11% |
| 175,236 | Ridgewater College | 196 | -0.23% |
| 175,272 | Winona State University | 192 | 0.07% |
| 172,954 | Anoka Technical College | 189 | 1.7% |
| 174,376 | North Hennepin Community College | 168 | 1.47% |
| 173,258 | Carleton College | 168 | 0.17% |
| 174,844 | St Olaf College | 167 | -0.16% |
Education Credentials
Education Credentials Issued by County in Minneapolis St. Paul Metro
2021 Completions
| County Name | Hennepin | Ramsey | Anoka | Dakota | Pierce |
|---|---|---|---|---|---|
| All certificates | 508 | 155 | 81 | 39 | 0 |
| Award of less than 1 academic year | 292 | 31 | 33 | 28 | 0 |
| Award of at least 1 but less than 2 academic years | 96 | 7 | 48 | 9 | 0 |
| Associate's Degree | 560 | 194 | 144 | 138 | 0 |
| Award of at least 2 but less than 4 academic years | 36 | 0 | 0 | 2 | 0 |
| Bachelor's Degree | 3,382 | 1,048 | 0 | 0 | 472 |
| Postbaccalaureate certificate | 75 | 116 | 0 | 0 | 0 |
| Master's Degree | 810 | 293 | 0 | 0 | 7 |
| Post-masters certificate | 9 | 1 | 0 | 0 | 0 |
| Doctor's Degree | 545 | 0 | 0 | 0 | 0 |
Education Pipeline
Tech Education Pipeline Trends
Degree Trend by Education Track
Veteranary Science And Related Fields
Computer and Information Sciences and Support Services
Engineering
Engineering/Engineering-related Technologies/Technicians
Biological and Biomedical Sciences
Military Technologies and Applied Sciences
Physical Sciences
Science Technologies/Technicians
Minnesota Tech Education Pipeline by Program
| CIP Code | Description | All Programs 2021 Completions | % Completions Change (2011-2021) | Annual Openings |
|---|---|---|---|---|
| 1 | Agricultural/Animal/Plant/Veterinary Science And Related Fields | 869 | -33.36% | 47,802 |
| 11 | Computer and Information Sciences and Support Services | 4,529 | 63.15% | 32,801 |
| 14 | Engineering | 2,350 | 36.15% | 25,259 |
| 15 | Engineering/Engineering-related Technologies/Technicians | 1,370 | -5.84% | 74,386 |
| 26 | Biological and Biomedical Sciences | 3,106 | 23.4% | 20,813 |
| 29 | Military Technologies and Applied Sciences | 1 | 11,153 | |
| 40 | Physical Sciences | 895 | -4.79% | 13,000 |
| 41 | Science Technologies/Technicians | 24 | 118.18% | 4,779 |
Data
METHODOLOGY
This report includes 129,747 data points from 83 measures, collected from sources described below.
Some of the summary data included in the report may not include suppressed data. Data suppression occurs in cases where private, identifying information would be disclosed. In most cases, this does not impact the total values presented in the report, but in cases where there are small industries or areas, data suppressions may reduce the accuracy of the data we can display.
Statistics based around INDUSTRY reference all jobs at a tech related company and use NAICS (North American Industry Classification System) codes. An example would be a warehouse worker employed at tech company Amazon.
Statistics based around OCCUPATION reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes. An example would be a software engineer working at a financial institution or software company.
Statistics based around TECH WORKFORCE reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes.
SOURCES
-
Lightcast / Emsi, Quarterly Census of Employment and Wages, Bureau of Labor Statistics
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