100+ Data & Analytics Jobs in Columbus, OH

The clearest local benchmark is broad: Columbus computer and mathematical occupations averaged about $109,533 annually in May 2025, while all workers in the metro averaged $32.34 an hour. More role-specific proxies put Columbus data analysts at about $100,480 median, with a $69,950-$129,550 middle band, while current posted ranges for the broader category center on about $109k to $170k.

Full August 2026 market report

Advertised pay

Across the 87 openings that disclose pay, the advertised range midpoint runs $98,200 at the 25th percentile, $134,000 at the median and $152,350 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 25, 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

Columbus is a workable but selective market for Data, Analytics & AI over the next 3-6 months. Local labor conditions are fairly tight, with Columbus unemployment at 3.2% in July 2026, while Ohio Data, Analytics & AI postings were up 27.5% year over year even as category employment was essentially flat statewide. In the Columbus posting sample, hiring was spread across more than 50 companies and skewed toward mid and senior roles rather than entry-level openings.

Best positioned: Your best odds are as a mid-career analyst, data scientist, or BI professional who can show SQL, Python, dashboarding, and either healthcare, financial services, or insurance domain depth.

Main caution: The biggest trap is assuming this is a broad remote-entry market: only about 10% of sampled openings were entry level, about 25% were remote, and postings that stated sponsorship policy showed about 0% visa sponsorship.

From the August 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. OhioX: 9 open roles
2. Amazon: 7 open roles
3. DHL Group: 6 open roles
4. Cardinal Health Canada Inc.: 4 open roles
5. Deloitte: 4 open roles
6. J.P. Morgan SE: 4 open roles
7. Nationwide Mutual Insurance Company: 4 open roles
8. Kalepa: 3 open roles
9. Nationwideexcessandsurplus: 3 open roles
10. NiSource Inc.: 3 open roles

Where the openings are

• Columbus: 79
• Dublin: 9
• Westerville: 7
• New Albany: 4
• Hilliard: 3
• Indianapolis: 3
• Herndon: 2
• Plain City: 2

Work arrangement

on-site 63 (51%), hybrid 45 (36%), remote 16 (13%)

Where the demand is

Real opportunity is concentrated in a few business contexts rather than one employer. In the Columbus sample, the heaviest industry mix was healthcare (about 25%), financial services (about 20%), insurance (about 20%), then hospitals and health care (about 10%) and technology (about 10%). Hiring is fragmented across employers, with more than 50 postings across more than 50 companies and a long tail rather than a dominant buyer. That mix matters because the named local openings line up with those sectors: Liberty Mutual posted a Lead Data Scientist, JPMorgan Chase posted a Quant Analytics Senior Associate, and McKesson advertised a Senior Business Intelligence & Automation Analyst in the Columbus area. This is not mainly a new-grad market; the seniority mix was about 50% mid, about 30% senior, about 5% lead+, and only about 10% entry. Work mode also narrows the true opportunity set. About 50% of sampled roles were on-site, about 25% hybrid, and about 25% remote, and Liberty Mutual's Columbus-area Lead Data Scientist role specifically required a hybrid schedule for nearby candidates.

• Healthcare and hospital analytics (high): Healthcare accounts for about 25% of local Data, Analytics & AI postings, with hospitals and health care adding about 10%, making reporting, operations, and automation work especially relevant.
• Financial services and insurance analytics (high): Financial services and insurance together make up about 40% of the local mix, and recent Columbus-area roles from JPMorgan Chase and Liberty Mutual show demand for quant and AI-enabled analytics.
• BI and automation inside large enterprises (moderate): Recent openings such as McKesson's Senior Business Intelligence & Automation Analyst suggest a practical lane for candidates who can translate data into workflow improvement, not just model building.
• Pure remote entry-level analytics (limited): This slice is limited because only about 25% of sampled roles were remote and only about 10% were entry level.

Where to focus: Focus first on mid-level BI, analytics, or data science roles in healthcare, financial services, and insurance, especially where you can show SQL, Python, and dashboard work tied to a regulated business problem.

Roles worth searching next

• Financial analyst / FP&A analyst: Financial services represent about 20% of the local mix, and finance employers pay a premium for data analysis skills.
• Risk analyst / quant risk role: JPMorgan Chase's Columbus Quant Analytics Senior Associate posting shows a nearby lane for candidates with strong stats and finance depth.
• Healthcare operations analyst: Healthcare and hospitals together account for about 35% of the local mix, so analytics-fluent operations roles are a practical bridge for candidates with provider or payer context.
• Claims strategy / business process analyst: Liberty Mutual's Columbus Lead Data Scientist role was centered on claims and service knowledge workflows, which creates neighboring paths in claims strategy, enablement, and process analysis.

What postings ask for

• SQL (table_stakes | immediate): SQL appeared in about 65% of sampled postings, making it the clearest baseline filter for Columbus analytics roles. Who: Everyone, especially entry-level candidates and career switchers trying to clear first-round screens.
• Python (table_stakes | immediate): Python showed up in about 60% of postings and is the bridge between analyst, scientist, and automation-oriented work. Who: Mid-career analysts aiming upward and aspiring data scientists.
• Tableau / Power BI (differentiator | immediate): Tableau appeared in about 30% of postings and Power BI in about 25%, which fits the strong local BI and reporting lane. Who: Entry-level and mid-career analysts who need faster access to hiring demand.
• Machine learning (premium | near-term): Machine learning was present in about 20% of sampled postings, and local AI-focused roles at Liberty Mutual and in a Columbus Director of AI search point to premium demand when it is tied to business use cases. Who: Experienced analysts and data scientists who already have strong SQL/Python fundamentals.
• Data visualization and data modeling (differentiator | immediate): Data visualization appeared in about 20% of postings and data modeling in about 15%, signaling that employers want interpretable outputs and sound structure, not just code. Who: Anyone whose resume looks too technical or too reporting-only.
• Healthcare, finance, or insurance domain fluency (differentiator | near-term): Healthcare, financial services, and insurance together made up most of the local mix, so candidates who can speak claims, risk, compliance, revenue cycle, or operational KPIs should convert better. Who: Career switchers and mid-career candidates with prior industry experience.

Questions about this market

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

The clearest local benchmark is broad: Columbus computer and mathematical occupations averaged about $109,533 annually in May 2025, while all workers in the metro averaged $32.34 an hour. More role-specific proxies put Columbus data analysts at about $100,480 median, with a $69,950-$129,550 middle band, while current posted ranges for the broader category center on about $109k to $170k. That says the market can support solid six-figure pay, but not every opening will look like an AI or lead-scientist package. Ohio's mean offered salary on new Data, Analytics & AI openings was ~$106,549 in Aug 2026, below the national mean offered salary of ~$125,745 and below the national data scientist median of $120,230.

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

Real opportunity is concentrated in a few business contexts rather than one employer. In the Columbus sample, the heaviest industry mix was healthcare (about 25%), financial services (about 20%), insurance (about 20%), then hospitals and health care (about 10%) and technology (about 10%). Hiring is fragmented across employers, with more than 50 postings across more than 50 companies and a long tail rather than a dominant buyer. That mix matters because the named local openings line up with those sectors: Liberty Mutual posted a Lead Data Scientist, JPMorgan Chase posted a Quant Analytics Senior Associate, and McKesson advertised a Senior Business Intelligence & Automation Analyst in the Columbus area. This is not mainly a new-grad market; the seniority mix was about 50% mid, about 30% senior, about 5% lead+, and only about 10% entry. Work mode also narrows the true opportunity set. About 50% of sampled roles were on-site, about 25% hybrid, and about 25% remote, and Liberty Mutual's Columbus-area Lead Data Scientist role specifically required a hybrid schedule for nearby candidates.

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

Recent postings show the most activity from Matricstek Inc (5 postings), OhioX (5 postings), J.P. Morgan SE (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, 25% are remote and 25% hybrid, with 50% 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: 140 open roles statewide

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