Data Analyst Jobs in Columbus, OH

Direct local BLS data for data scientists in Columbus shows a 2025 median of $107,950, with the 25th percentile at $83,090, the 75th percentile at $143,450, and the mean at $114,820. Separately, sampled posted salary ranges for Columbus Data, Analytics & AI roles center on about $106k to $168k, and Revelio Public Labor Statistics puts the mean offered salary on new Ohio openings at about $108,554 (n=926).

Full September 2026 market report

Advertised pay

Across the 56 openings that disclose pay, the advertised range midpoint runs $96,512 at the 25th percentile, $130,625 at the median and $152,906 at the 75th. These are advertised ranges, not earned pay.

Active openings as of November 10, 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 98 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Columbus is a workable but selective market for Data, Analytics & AI over the next 3-6 months. Local unemployment is low at 3.3%, and Ohio's broader Data, Analytics & AI posting volume is up 27.8% year over year even though statewide employment in the field is essentially flat, which points to real openings but careful headcount control. In Columbus itself, the hiring sample is fragmented across more than 50 companies, but it skews toward mid and senior roles, with only about 15% of openings at entry level and most roles on-site or hybrid.

Best positioned: Candidates with 3-7 years of experience who can show SQL, Python, and business-facing delivery in healthcare, consulting, or financial environments have the best odds right now.

Main caution: The biggest mistake is assuming that local AI buzz means broad junior hiring; the strongest activity is still in healthcare, consulting, and financial-services settings, and only about 15% of sampled openings are entry level.

From the September 2026 market report

Who is hiring here

Counted across all 98 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Nationwide Mutual Insurance Company: 5 open roles
2. J.P. Morgan SE: 4 open roles
3. Nationwideexcessandsurplus: 4 open roles
4. Huntington Bank: 3 open roles
5. The Ohio State University Wexner Medical Center: 3 open roles
6. AEP: 2 open roles
7. Aldi, Inc.: 2 open roles
8. Amazon: 2 open roles
9. American Business Solutions Inc.: 2 open roles
10. Cardinal Health Canada Inc.: 2 open roles

Where the openings are

• Columbus: 70
• New Albany: 6
• Dublin: 6
• Westerville: 2
• Reynoldsburg: 2
• Dallas: 1
• Wright Patterson Air Force Base: 1
• Lockbourne: 1

Work arrangement

on-site 58 (59%), hybrid 31 (32%), remote 9 (9%)

Where the demand is

Real opportunity is concentrated in business functions that already operationalize data, not in stand-alone AI-lab hiring. In the Columbus sample, hospitals and health care account for about 20% of postings, healthcare another about 15%, business consulting about 15%, financial services about 15%, and nonprofit organizations about 10%. Named active employers include Deloitte, DHL Group, OhioX, J.P. Morgan SE, AndHealth LLC, CAS, and Huntington, and hiring is fragmented rather than dominated by one company. The second concentration is by seniority and work arrangement. About 45% of sampled roles are mid-level, about 30% senior, and about 15% lead+, versus about 15% entry level. About 60% of roles are on-site and about 25% hybrid, which means candidates who restrict themselves to remote-only work are narrowing an already selective market. Even though Ohio-wide postings are up 27.8% year over year, local Information and Professional and Business Services employment are both down more than 4% year over year, so employers appear to be hiring for targeted capability gaps rather than broad experimentation.

• Healthcare providers and health-tech (high): This is the clearest local concentration, with hospitals and health care at about 20% of the sample and healthcare at about 15%.
• Consulting and transformation teams (high): Business consulting represents about 15% of the local sample, which favors candidates who can present analytics work in client, operations, or decision-support terms.
• Financial services and banking (moderate): Financial services make up about 15% of sampled demand, and named employers include J.P. Morgan SE and Huntington.
• Logistics, research, and mission-driven institutions (moderate): The employer mix includes DHL Group, CAS, OhioX, and nonprofit organizations at about 10% of the sample, which supports applied analytics work beyond classic tech employers.

Where to focus: Prioritize employers where analytics is tied to compliance, cost, operations, or customer risk—especially healthcare, finance, and consulting teams.

Roles worth searching next

• Business Systems Analyst: It uses the same stakeholder translation, requirements thinking, and reporting logic as many analytics roles, but often has a lower technical bar than pure data science.
• Healthcare Operations Analyst: Local demand is concentrated in healthcare-oriented employers, and the work often values KPI design, dashboarding, and process analysis over frontier ML.
• Supply Chain Analyst: Columbus has active logistics and operations-oriented employers, and the move rewards candidates who can turn data work into throughput, inventory, and network decisions.
• FP&A Analyst: Local financial-services activity gives analytically strong candidates another route into business-facing decision work.

What postings ask for

• SQL (table_stakes | immediate): SQL appears in about 70% of sampled Columbus postings and about 65% of another local sample, making it the clearest baseline filter in this market. Who: Everyone, especially entry-level candidates and career switchers.
• Python (table_stakes | immediate): Python appears in about 80% of sampled postings and about 60% of another local sample, so it is the main bridge from reporting work into automation, modeling, and ML-adjacent work. Who: All candidates aiming beyond dashboard-only roles.
• Power BI / Tableau (differentiator | near-term): Visualization shows up regularly: Power BI is about 20% and Tableau about 20% in one local sample, while another shows Tableau about 30% and Power BI about 25%. Who: Analyst, BI, and business-facing candidates.
• Data modeling (differentiator | immediate): Data modeling appears in about 25% of sampled local postings, which matters because employers want people who can structure data for repeatable decision use, not just analyze one-off extracts. Who: Mid-career analysts, analytics engineers, and switchers from operations or finance.
• Machine learning (premium | near-term): Machine learning appears in about 25% of sampled Columbus postings, and broader hiring guidance continues to flag it as an in-demand capability. Who: Candidates already strong in SQL, Python, and business analytics who want to move upmarket.
• Azure certification (differentiator | near-term): It is the most commonly required certification in the local sample, though still only about 5% of postings, so it helps more as a tie-breaker than as a ticket in. Who: Candidates targeting cloud-tied analytics, platform, or enterprise AI delivery roles.

Questions about this market

What do Data, Analytics & AI roles pay in Columbus, OH?

Direct local BLS data for data scientists in Columbus shows a 2025 median of $107,950, with the 25th percentile at $83,090, the 75th percentile at $143,450, and the mean at $114,820. Separately, sampled posted salary ranges for Columbus Data, Analytics & AI roles center on about $106k to $168k, and Revelio Public Labor Statistics puts the mean offered salary on new Ohio openings at about $108,554 (n=926). This is solid pay for Columbus. Computer and mathematical occupations averaged $52.66 per hour locally versus $32.34 across all occupations, so strong data skills still command a premium in the metro.

Where is demand for Data, Analytics & AI roles in Columbus, OH concentrated?

Real opportunity is concentrated in business functions that already operationalize data, not in stand-alone AI-lab hiring. In the Columbus sample, hospitals and health care account for about 20% of postings, healthcare another about 15%, business consulting about 15%, financial services about 15%, and nonprofit organizations about 10%. Named active employers include Deloitte, DHL Group, OhioX, J.P. Morgan SE, AndHealth LLC, CAS, and Huntington, and hiring is fragmented rather than dominated by one company. The second concentration is by seniority and work arrangement. About 45% of sampled roles are mid-level, about 30% senior, and about 15% lead+, versus about 15% entry level. About 60% of roles are on-site and about 25% hybrid, which means candidates who restrict themselves to remote-only work are narrowing an already selective market. Even though Ohio-wide postings are up 27.8% year over year, local Information and Professional and Business Services employment are both down more than 4% year over year, so employers appear to be hiring for targeted capability gaps rather than broad experimentation.

Which employers are hiring the most Data, Analytics & AI talent in Columbus, OH?

Recent postings show the most activity from Deloitte (5 postings), DHL Group (5 postings), OhioX (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Columbus, OH be done remotely?

Of recent postings, 15% are remote and 25% hybrid, with 60% 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.

Browse Ohio openings by job title

• General Manager: 431 open roles statewide

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