Data Analyst Jobs in Indianapolis, IN

Observed local pay is solid but role-specific. In BLS metropolitan data for 2025, data scientists in Indianapolis had a $99,110 median, $77,140 at the 25th percentile, and $149,280 at the 90th percentile, while operations research analysts had an $86,800 median and $137,460 at the 90th percentile. As a directional opening signal rather than a local wage median, Revelio Public Labor Statistics puts Indiana's mean offered salary on new Data, Analytics & AI openings at ~$97,326 in September 2026 based on n=401.

Full September 2026 market report

Advertised pay

Across the 27 openings that disclose pay, the advertised range midpoint runs $105,762 at the 25th percentile, $140,000 at the median and $156,732 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 50 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Indianapolis is a workable but selective market for Data, Analytics & AI right now. Metro unemployment was 3.3% in August 2026, yet total metro nonfarm employment was down about 1.1% year over year, Information employment fell 10.9%, and Professional and Business Services fell 2.7%, so the local economy is not weak but the employer base that often feeds this category is softer than last year. At the same time, Indiana-wide Data, Analytics & AI postings were up 31.8% year over year while employment in the field slipped 0.9%, a pattern that usually means more openings are being advertised than net seats are being added. In the local sample, more than 50 postings were spread across more than 30 companies, with most roles on-site and tilted toward mid and senior levels.

Best positioned: Your best odds are as a mid-career candidate who can pair Python, SQL, and machine learning with a business-domain story for pharma, consulting, healthcare, or accounting and who is open to on-site or hybrid work.

Main caution: The biggest mistake is treating Indianapolis like a remote-first AI market when only about 5% of the sampled openings were remote and entry-level roles were only about 15% of the mix.

From the September 2026 market report

Who is hiring here

Counted across all 50 openings in this market. 8 of the employers below are hiring for more than one role right now.

1. RADcube: 6 open roles
2. Deloitte: 2 open roles
3. Lilly International: 2 open roles
4. Marlabs Inc.: 2 open roles
5. Masco Corporation: 2 open roles
6. Midcontinent Independent System Operator, Inc.: 2 open roles
7. SDG Group: 2 open roles
8. WinWire Technologies Inc.: 2 open roles
9. Allegion plc: 1 open role
10. Aroha Technologies, Inc: 1 open role

Where the openings are

• Indianapolis: 35
• Carmel: 8
• Greenfield: 3
• Mooresville: 1
• Boston, Massachusetts, United States or Indianapolis: 1
• Fort Wayne: 1

Work arrangement

on-site 29 (58%), hybrid 16 (32%), remote 5 (10%)

Where the demand is

Most of the visible local opportunity sits in applied business analytics, not pure research AI. In the recent local sample, business consulting and pharmaceutical manufacturing each accounted for about 20% of Data, Analytics & AI activity, with environmental services, healthcare, and accounting each at about 10%. The named employers that appeared most consistently were Lilly Group, Deloitte, and Blue & Co., which reinforces that the market is anchored in decision support, analytics consulting, and regulated-industry use cases more than consumer-tech scale hiring. That concentration matters because it rewards candidates who can connect technical work to a business function. Python, SQL, machine learning, Power BI, prompt engineering, and data visualization all show up in the local skills mix, but the winning combination is usually those tools plus a domain story in pharma, healthcare, finance, or consulting. Because hiring is fragmented rather than dominated by one employer, you do not need a one-company strategy here; you need a multi-industry strategy with local availability and on-site readiness.

• Pharma and healthcare analytics (high): Pharmaceutical manufacturing accounts for about 20% of the recent local sample, healthcare about 10%, and Lilly Group is the most consistently visible employer name.
• Consulting and accounting analytics (high): Business consulting is about 20% of the local sample and accounting about 10%, with Deloitte and Blue & Co. among the most consistently active employers.
• Environmental and operations-focused analytics (moderate): Environmental services make up about 10% of the recent sample, which suggests room for reporting, modeling, and decision-support work outside classic tech firms.

Where to focus: Prioritize applied analytics roles in pharma, healthcare, consulting, and accounting where you can show measurable business impact, not just technical experimentation.

Roles worth searching next

• Financial Analyst / FP&A Analyst: Indiana still had 149.9 thousand jobs in Financial Activities in August 2026, and the core transfer is strong for candidates who already do forecasting, modeling, and business reporting.
• Clinical Informatics Analyst: Healthcare represented about 10% of the local sample, and the broader U.S. education and health services sector was up 1.9% year over year.
• AI Product Manager: Prompt engineering is being folded into broader AI roles such as AI Product Manager rather than surviving as a standalone title.
• Computer and Information Research Scientist: The BLS projects this research-oriented path to grow 19.7% nationally from 2024 to 2034, making it a credible adjacent option for advanced ML or PhD-level candidates.

What postings ask for

• Python (table_stakes | immediate): Python appeared in about 65% of the local sample, making it the clearest baseline skill across analyst, data science, and AI-flavored roles here. Who: Everyone, especially entry-level applicants who need a credible technical floor.
• SQL (table_stakes | immediate): SQL showed up in about 45% of local postings and remains a must-have nationally for data analytics and data science work. Who: Everyone, with special urgency for analysts and career switchers.
• Machine learning (premium | near-term): Machine learning appeared in about 35% of the local sample, which signals that employers want more than dashboard maintenance in a meaningful share of roles. Who: Mid-career candidates and technically stronger entry-level candidates targeting data scientist or AI-leaning work.
• Power BI (differentiator | immediate): Power BI showed up in about 25% of local postings, making it a practical advantage for candidates targeting business-facing analytics teams. Who: Analysts, consultants, and career switchers with strong business presentation skills.
• Prompt engineering (differentiator | near-term): Prompt engineering appeared in about 20% of the local sample, and nationally the skill grew approximately 250% even as the standalone Prompt Engineer title declined. Who: Candidates who already have a core analytics toolkit and want to show AI-assisted workflow fluency.
• AWS or Azure certification (differentiator | near-term): AWS certification and Azure certification were the most commonly named certifications in the local sample, and cloud data platforms are increasingly treated as must-have capability nationally. Who: Mid-career candidates, analytics engineers, and career switchers who need a clear infrastructure signal.

Questions about this market

What do Data, Analytics & AI roles pay in Indianapolis-Carmel-Greenwood, IN?

Observed local pay is solid but role-specific. In BLS metropolitan data for 2025, data scientists in Indianapolis had a $99,110 median, $77,140 at the 25th percentile, and $149,280 at the 90th percentile, while operations research analysts had an $86,800 median and $137,460 at the 90th percentile. As a directional opening signal rather than a local wage median, Revelio Public Labor Statistics puts Indiana's mean offered salary on new Data, Analytics & AI openings at ~$97,326 in September 2026 based on n=401. This is a good-pay market for strong candidates, but not the national ceiling for elite data-science compensation. Local data scientist pay trails the national data scientist median of $120,230, which is why Indianapolis can be attractive for cost-conscious employers and candidates who value stability over maximum cash.

Where is demand for Data, Analytics & AI roles in Indianapolis-Carmel-Greenwood, IN concentrated?

Most of the visible local opportunity sits in applied business analytics, not pure research AI. In the recent local sample, business consulting and pharmaceutical manufacturing each accounted for about 20% of Data, Analytics & AI activity, with environmental services, healthcare, and accounting each at about 10%. The named employers that appeared most consistently were Lilly Group, Deloitte, and Blue & Co., which reinforces that the market is anchored in decision support, analytics consulting, and regulated-industry use cases more than consumer-tech scale hiring. That concentration matters because it rewards candidates who can connect technical work to a business function. Python, SQL, machine learning, Power BI, prompt engineering, and data visualization all show up in the local skills mix, but the winning combination is usually those tools plus a domain story in pharma, healthcare, finance, or consulting. Because hiring is fragmented rather than dominated by one employer, you do not need a one-company strategy here; you need a multi-industry strategy with local availability and on-site readiness.

Which employers are hiring the most Data, Analytics & AI talent in Indianapolis-Carmel-Greenwood, IN?

Recent postings show the most activity from Lilly Group (10 postings), Deloitte (5 postings), Blue & Co. (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Indianapolis-Carmel-Greenwood, IN be done remotely?

Of recent postings, 5% are remote and 25% hybrid, with 70% 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.

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