Is Data, Analytics & AI a Good Job Market in Columbus, OH?

Executive Verdict

Market rating: competitive | Confidence: Medium

Columbus is a competitive market for Data, Analytics & AI rather than a shrinking one. The metro unemployment rate was 3.3% in June 2026, below Ohio's 3.6%, and Ohio occupation-level postings for Data, Analytics & AI were up 19.8% year over year in July even while occupation employment was essentially flat.[8][24][18][19] Locally, the sample shows more than 50 postings across more than 40 companies, with hiring fragmented across employers rather than dominated by one firm.[25][14] That is enough demand to justify an active search, but the mix skews toward mid-career talent and hybrid or on-site work rather than easy remote entry points.[6][7]

Best positioned: Candidates with 2-5 years of experience who can show SQL, Python, dashboarding, and business-facing delivery in healthcare, insurance, or financial services have the best odds right now.[12][11][15]

Main caution: Do not read the big salary bands as proof that junior generalist analyst roles are easy to land; only about 15% of sampled openings were entry-level, and pay varies widely between generic data analyst work and specialized enterprise roles.[6][1][3][4]

What Changed Recently

• Columbus unemployment was 3.3% in June 2026, down -26.6667% year over year, while Ohio was at 3.6%.[8][24]: The overall labor market is tight, which supports hiring activity, but it also means employers can stay selective on analytics roles.
• Ohio Data, Analytics & AI active postings were up 19.8% year over year in July 2026 even though occupation employment was essentially flat year over year.[18][19]: That usually means more requisitions without broad-based team expansion, so open roles exist but competition for each role can still be intense.
• National total nonfarm employment reached 158858 thousand in July 2026, up 0.1993% year over year, and the U.S. job openings rate was 4.4% in June 2026.[22][23]: The economy is still adding jobs, but slowly, so Columbus data hiring is more likely to reward strong fit than broad spray-and-pray applying.
• In the Columbus sample, employers posted more than 50 openings across more than 40 companies over the last 90 days, with about 55% of roles at mid level and only about 15% entry level.[25][6]: The market is real, but it is not especially forgiving for brand-new candidates.
• Fresh pay signals still cluster above broad Ohio averages: a current Columbus Citizens role lists $110,000-$145,000 plus bonus, while Ohio Data, Analytics & AI openings averaged ~$107,235 versus ~$76,183 across all occupations statewide.[4][2]: There is real salary upside here, but it sits mostly in specialized or enterprise-facing roles rather than broad-access entry jobs.

What This Means for You

Entry-Level Candidates

Difficulty: Hard: only about 15% of sampled roles were entry-level, and among postings that state an education requirement, a bachelor's degree is most common at about 65%.[6][28]

Best target: Aim first at SQL-plus-dashboard analyst work in healthcare, insurance, and provider settings rather than pure AI titles.[12][11]

Biggest mistake: Applying only to remote roles or branding yourself as an AI candidate without proof of reporting, analysis, and stakeholder support.

Next step: Build one portfolio project in SQL plus Power BI or Tableau and one in Python, then target hybrid and on-site employers first because about 80% of local openings are not remote.[11][7]

Mid-Career Candidates

Difficulty: Moderate: the market is competitive, but about 55% of sampled openings are mid-level and Ohio occupation-level postings are up 19.8% year over year.[6][18]

Best target: Analytics enablement, BI and reporting, and domain-heavy roles in healthcare, finance, and insurance are the best-fit lane.[12][4]

Biggest mistake: Presenting as a generalist without business outcomes; employers are asking for SQL, visualization, and business partnering, not just tool lists.[11][15]

Next step: Split your resume into a reporting and BI version and a Python and data-enablement version, then apply to named employers plus the broader long tail because local hiring is fragmented.[13][14]

Career Switchers

Difficulty: Harder than it looks: low metro unemployment does not mean easy switching, because entry openings are limited and most roles sit at mid level.[8][6]

Best target: Target adjacent analyst work in healthcare, insurance, finance, or business and process functions where SQL, dashboarding, and stakeholder communication transfer fastest.[12][11][15]

Biggest mistake: Trying to leap straight into AI branding before you can show production-quality analysis or credible domain context.

Next step: Start with hybrid roles that combine reporting, data cleanup, and stakeholder support, then layer Python or cloud-adjacent skills once interviews start moving.[7][11][29]

Salary Reality

good pay high barrier

Observed local posted salary ranges in the Columbus sample center on about $109k to $181k, with a broader 25th-75th band of about $79k to $213k.[1] Statewide, mean offered salary on new Data, Analytics & AI openings in Ohio was ~$107,235 in July 2026 (n=1,508), versus ~$76,183 across all occupations.[2] Proxy role-level signals are much wider: Zippia puts Columbus data analyst pay at $49,000-$94,000, Citizens lists a Columbus Data & Analytics Enablement Analyst at $110,000-$145,000 plus bonus, and Levels.fyi shows a $155K median package for data analysts at JPMorgan Chase in the Columbus area.[3][4][5]

This is a market where the category average looks attractive because it mixes dashboard and reporting jobs with higher-paid analytics engineering, AI, and enablement work.[1][3][4]

The offset is selectivity: mid-career roles dominate, remote is a minority of openings, and employers can hire cautiously in a tight market.[6][7][8]

Best-paying path: The strongest pay appears in specialized enterprise roles tied to analytics enablement, banking, and infrastructure-heavy analytics rather than generic reporting work. National guides place analytics engineer pay around $115,000-$145,000 and data engineer ranges around $140,000-$190,000, which helps explain why Columbus category-level bands run above generic data analyst ranges.[9][10][1]

Caution: Top-end salary figures usually come from specialized employers or broad category mixes, not what a first data analyst job will pay.[1][3][5][4]

Where the Opportunities Are Concentrated

Real opportunity is concentrated in a few employer types rather than one dominant company. In the Columbus sample, hiring was fragmented across employers, with the most-active industries being healthcare (about 35%), financial services (about 20%), insurance (about 15%), hospitals and health care (about 10%), and retail (about 10%).[14][12] That means you should search by industry use case such as claims, patient operations, risk, pricing, customer analytics, and reporting enablement, not just by title. The practical center of gravity is mid-level analyst and enablement work. About 55% of sampled openings were mid-level, about 25% senior, and only about 15% entry-level.[6] Skill demand is led by SQL (about 75%), Python (about 60%), Power BI, R, data visualization, Tableau, and data modeling.[11] Remote-only hunting will narrow the field because about 45% of roles were on-site, about 35% hybrid, and about 20% remote.[7] A small set of visible employers includes Deloitte, Matricstek Inc, JP Morgan Chase, AndHealth LLC, and Nationwide Children's Hospital Inc, but no single firm dominates the local picture.[13][14]

• Healthcare and care-delivery analytics (high): Healthcare is the largest local concentration at about 35%, with hospitals and health care adding about 10%, and active employers in the sample include AndHealth LLC and Nationwide Children's Hospital Inc.[12][13]
• Financial services and insurance analytics (high): Financial services account for about 20% of the sample and insurance about 15%, with JP Morgan Chase in the active-employer list and a live Columbus Citizens data role reinforcing that enterprise analytics demand is real in this lane.[12][13][4]
• BI, reporting, and data enablement work (moderate): The skill pattern is heavily SQL-led, with Power BI, Tableau, data visualization, and data modeling showing up often enough to make reporting and enablement work a broad middle lane.[11]
• Early-career AI and innovation paths (limited): A local BMW Group signal points to a part-time internship in AI, data science, and innovation use cases, which is promising for students but still a narrow lane versus the broader mid-career market.[20]

Where to focus: Prioritize mid-level SQL plus Python plus dashboard roles inside healthcare, insurance, and financial services, and be open to hybrid or on-site setups because that is where the local mix is thickest.[12][7][11]

Skills and Credentials Worth Pursuing

• SQL (table stakes): SQL appears in about 75% of sampled Columbus postings, making it the clearest baseline filter skill in this market.[11]
• Python (differentiator): Python shows up in about 60% of local postings and also anchors local AI and machine-learning training interest, so it helps across both analyst and advanced tracks.[11][29]
• Power BI or Tableau (differentiator): Power BI appears in about 30% of local postings and Tableau in about 25%, which makes dashboard fluency one of the fastest ways to match real openings.[11]
• Data visualization (table stakes): Data visualization appears in about 30% of local postings, and national employer guidance also highlights visualization alongside SQL and business partnering.[11][15]
• Data modeling (differentiator): Data modeling shows up in about 25% of local postings and is a useful separator for candidates aiming at enablement and analytics-engineering-flavored work.[11]
• Business partnering (differentiator): Employer guidance highlights business partnering alongside SQL and data visualization, which signals that communication and stakeholder influence matter here, not just technical output.[15]
• AWS Certified Solutions Architect (premium): It is only explicitly required in about 5% of local postings, so it is not table stakes, but it can help on cloud-adjacent analytics roles where infrastructure awareness boosts credibility.[16]
• Machine learning and AI fundamentals (premium): Local education signals emphasize Python for machine learning and AI applications, which suggests continuing interest, even though the broader local hiring mix still centers more on analytics and reporting than pure AI roles.[29][11]

Adjacent Roles to Consider

• Financial analyst or risk analyst (both): Columbus demand is concentrated in financial services and insurance, and local signals include JP Morgan Chase plus a current Citizens data and analytics role.[12][13][4]
• Business analyst or process analyst (bridge): SQL, data visualization, and business partnering overlap strongly with what local employers are already asking for in this market.[11][15]
• Market research analyst (pivot): This route sits in marketing rather than this category, but visualization, SQL, and business-facing storytelling transfer well.[11][15]
• Compliance or reporting analyst (bridge): Healthcare, insurance, and finance are major local demand pockets, and those sectors reward people who can turn messy operational data into auditable reporting.[12][11]

30 / 60 / 90-Day Plan

First 30 Days

• Build two resume versions: one for BI and reporting roles using SQL, Power BI or Tableau, and data visualization, and one for Python and data-enablement roles because the market is mid-level and skills split that way.[6][11]
• Create two portfolio pieces tied to local demand: one healthcare or payer dashboard case and one finance, insurance, or risk case aligned to the biggest industry pockets.[12]
• Change your search filters to include hybrid and on-site roles in Columbus because about 45% of openings are on-site, about 35% hybrid, and only about 20% remote.[7]
• Start with a focused employer list including Deloitte, Matricstek Inc, JP Morgan Chase, AndHealth LLC, and Nationwide Children's Hospital Inc, then expand outward through the long tail because the market is fragmented.[13][14]

Days 31-60

• Rewrite your experience bullets to show business partnering and measurable stakeholder outcomes, not just tools, because employer guidance highlights SQL, visualization, and business-facing delivery.[15][11]
• Add one mini project that shows data modeling plus Python workflow ownership, then explain the business decision it supports.[11]
• If you are aiming at higher-paying enablement or cloud-adjacent roles, decide whether AWS Certified Solutions Architect is worth the effort; it is only explicitly required in about 5% of postings, so use it as a differentiator rather than a gate.[16]
• Revisit openings that have been live for a few weeks because the typical active local posting has been open around 34 days, which leaves room for timely follow-up.[17]

Days 61-90

• If interviews are still thin, open a second search lane into adjacent financial analyst, business analyst, market research, or compliance-reporting roles instead of waiting only for pure data titles.
• Broaden your geography to Ohio-wide hybrid employers while keeping Columbus as your base, because Ohio Data, Analytics & AI postings are up 19.8% year over year even with flat occupation employment.[18][19]
• Negotiate by role family, not by title alone, because local data analyst proxies, enterprise roles, and broad category salary bands differ sharply.[1][3][5][4]
• If you are early-career, add internships and student programs to your pipeline because local AI and data internship signals do exist, but they are narrow enough that you should not rely on them alone.[20]

Methodology and Confidence

This July 2026 report was generated on August 10, 2026. Latest direct national data: July 2026. Latest direct Columbus, OH data: August 2026.

Confidence: Overall confidence: Medium. Local labor-market context is current, but occupation-specific conclusions rely partly on proxy hiring and salary signals.

Limitations

• Columbus-specific occupation employment data for Data, Analytics & AI was not available, so this page anchors on Columbus labor-market context and uses Ohio occupation-level signals as a proxy for hiring direction.[8][19][18]
• Several June 2026 labor-force and unemployment comparisons are preliminary and can revise, so the year-over-year changes should be read as directional rather than final.[8][30][31][32][24][33]
• This category mixes data analyst, BI, analytics engineering, data science, and AI-oriented work, so pay and difficulty can vary a lot inside the same headline market.[1][3][4]
• Some salary evidence comes from posted ranges or compensation sites rather than government wage series, which is useful for current negotiation but less reliable as a citywide average.[2][3][5][4]
• 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 posting counts or exact percentage shares.[25][13][12][1][7][6][28][16][11][17]

References

1. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
2. Reveliolabs. Salaries — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
3. Zippia. Get the job you really want - Zippia · 2025-10 · zippia.com
4. Jobs. Data & Analytics Enablement Analyst at Citizens · 2026-08 · jobs.citizensbank.com
5. Levels. Levels - median_wage_annual · 2025-12 · levels.fyi
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. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
9. Course. Data Analytics Salary 2026: Ranges by Role & Skills · 2026-01 · course.careers
10. Salientinsights. Data & AI Salary Guide 2026: What US Employers Are Paying | Salient Insights · 2026-01 · salientinsights.com
11. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
12. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
13. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
14. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
15. Robert Half. 2026 Data Analyst Salary Trends: What You Need to Know · 2026-01 · roberthalf.com
16. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
17. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
18. Reveliolabs. Job Openings — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
19. Reveliolabs. Employment — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
20. Newsbreak. 💻 Columbus IT Hiring Now: Multiple Cloud, Data & AI Roles - NewsBreak · 2026-07 · newsbreak.com
21. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-04 · data.bls.gov
22. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-07 · data.bls.gov
23. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
24. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
25. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
26. Reveliolabs. Mass-layoff Notices — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
27. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
28. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
29. Eventbrite. Python for Machine Learning & AI: 1-Day Session | Columbus, OH · 2026-08 · eventbrite.com
30. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
31. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
32. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
33. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov

Live Openings in This Market

This report is published monthly; its companion page tracks the active Data, Analytics & AI openings in Columbus, OH from the live Callings.ai job index. Browse current Data, Analytics & AI openings in Columbus, OH.