100+ Data & Analytics Jobs in Denver, CO

Government wage data puts Denver data scientists at a $112,520 median annual wage and $125,040 mean, with a 25th-75th percentile band of $97,180 to $147,950 in 2025. The small local computer-and-information-research-scientist segment—a rough proxy for more advanced AI research work—paid a $133,970 median and $144,500 mean, but the metro only had 160 such jobs. Directional pay signals align with that: Colorado's mean offered salary on new Data, Analytics & AI openings was about $118,076 in September 2026, and local posted ranges centered on about $106k to $172k.

Full September 2026 market report

Advertised pay

Across the 114 openings that disclose pay, the advertised range midpoint runs $103,500 at the 25th percentile, $130,000 at the median and $160,425 at the 75th. These are advertised ranges, not earned pay.

Active openings as of October 17, 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 135 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Denver is still a viable market for Data, Analytics & AI, but it is not an easy one right now. Local unemployment was 4.6% in August 2026, up from 3.8% a year earlier. Metro Information employment was down 7.9399% year over year in August 2026, while Professional and Business Services was essentially flat at 0.1885% growth. At the same time, statewide Data, Analytics & AI postings were up 26.0% year over year in September 2026 even as statewide employment in the field was down 1.9%, which points to selective hiring and replacement demand more than a broad hiring boom. Local posting mix also skews experienced, with about 50% senior roles and about 15% entry-level.

Best positioned: The best odds right now go to mid-career candidates who can show Python, SQL, and machine-learning delivery and are open to hybrid or on-site roles in defense, consulting, or large-enterprise settings.

Main caution: The biggest risk is assuming the AI narrative means lots of easy remote openings; Denver businesses report AI adoption above the national rate, but local openings are still mostly experienced and mostly not remote.

From the September 2026 market report

Who is hiring here

Counted across all 135 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Deloitte: 6 open roles
2. Alignerr Corp.: 5 open roles
3. Colorado Circular Communities Enterprise: 5 open roles
4. AppFolio, Inc.: 4 open roles
5. EchoStar Corporation: 4 open roles
6. Telemetry Today LLC: 4 open roles
7. Xometry: 4 open roles
8. Epsilon: 3 open roles
9. Google Inc: 3 open roles
10. Lockheed Martin Corporation: 3 open roles

Where the openings are

• Denver: 79
• Westminster: 12
• Boulder: 9
• Aurora: 8
• Englewood: 7
• Golden: 5
• Lone Tree: 2
• Littleton: 2

Work arrangement

on-site 62 (47%), hybrid 60 (45%), remote 11 (8%)

Where the demand is

Real opportunity is not evenly spread across all data titles. Over the last 90 days, the local sample showed more than 125 postings across more than 75 companies, and the most-active industries were software development (about 25%), defense and space manufacturing (about 20%), business consulting (about 10%), telecommunications (about 10%), and IT services and IT consulting (about 10%). The most consistently active employers were CACI, Booz Allen, Deloitte, Dataroles, and Loenbro, and hiring was fragmented rather than dominated by one employer. The practical takeaway is that Denver demand appears strongest where analytics sits close to contracts, operations, and enterprise transformation—not only in consumer-tech product teams. That matches the local work-style mix as well: about 55% of postings were on-site, about 40% hybrid, and about 10% remote, while about 50% of roles skewed senior. Candidates who can work across Python, SQL, machine learning, and business-facing communication should do better than candidates selling a single tool or a purely academic AI profile.

• Defense and federal-contractor analytics (high): This lane shows up through employers like CACI and Booz Allen, and defense and space manufacturing accounts for about 20% of the local sample.
• Consulting and transformation teams (high): Deloitte is among the more active employers, and business consulting represents about 10% of the local sample.
• Telecom and large-enterprise operations analytics (moderate): Telecommunications and IT services/consulting each make up about 10% of the local sample, and the work is often hybrid or on-site rather than remote-first.

Where to focus: Focus first on mid-to-senior analytics and applied-AI roles inside defense, consulting, and large-enterprise teams that want Python, SQL, and machine-learning delivery and will consider hybrid or on-site candidates.

Roles worth searching next

• Business Analyst / Business Systems Analyst: This is a practical bridge if you can translate requirements, metrics, and process problems into structured analysis.
• Revenue Operations Analyst: Good fit for candidates with SQL, dashboards, funnel analysis, and business communication skills.
• Risk or Fraud Analyst: This is a sensible pivot for people who like anomaly detection, rules, forecasting, and decision support.
• Market Research Analyst: It uses many of the same analytic muscles but sits in a different job family focused on customer and market insight.

What postings ask for

• Python (table_stakes | immediate): Python shows up in about 75% of local postings and now beats R as the clearer common language across analyst and AI work. Who: Everyone, especially entry-level candidates and career switchers.
• SQL (table_stakes | immediate): SQL appears in about 55% of local postings, making it the most reliable way to prove you can work with real business data before any modeling starts. Who: Everyone in this category.
• Machine learning (differentiator | near-term): Machine learning appears in about 35% of local postings, and national BLS projections still show data scientists as a long-run growth field. Who: Mid-career analysts moving upmarket and technical switchers with strong math/programming depth.
• Generative AI and prompt design (differentiator | immediate): Generative AI appears in about 15% of local postings, and national tech hiring increasingly asks for AI fluency and better prompting rather than passive awareness. Who: Analysts and data scientists who want to show they can speed up research, coding, and analysis workflows.
• Data visualization and decision storytelling (differentiator | immediate): Data visualization shows up in about 15% of local postings, and the analyst role is shifting toward framing questions and explaining decisions, not just building queries. Who: Entry-level candidates, BI analysts, and anyone whose work touches business stakeholders.
• Data governance (premium | near-term): Governed, high-quality data is increasingly treated as a prerequisite for trustworthy analytics and AI, especially in regulated or enterprise environments. Who: Mid-career candidates targeting larger enterprises, public sector, healthcare, or financial environments.

Questions about this market

What do Data, Analytics & AI roles pay in Denver-Aurora-Centennial, CO?

Government wage data puts Denver data scientists at a $112,520 median annual wage and $125,040 mean, with a 25th-75th percentile band of $97,180 to $147,950 in 2025. The small local computer-and-information-research-scientist segment—a rough proxy for more advanced AI research work—paid a $133,970 median and $144,500 mean, but the metro only had 160 such jobs. Directional pay signals align with that: Colorado's mean offered salary on new Data, Analytics & AI openings was about $118,076 in September 2026, and local posted ranges centered on about $106k to $172k. This is still good pay for Denver, but the money is not evenly distributed. Solid compensation shows up once you clear the Python/SQL baseline and can tie analysis or ML work to real business outcomes.

Where is demand for Data, Analytics & AI roles in Denver-Aurora-Centennial, CO concentrated?

Real opportunity is not evenly spread across all data titles. Over the last 90 days, the local sample showed more than 125 postings across more than 75 companies, and the most-active industries were software development (about 25%), defense and space manufacturing (about 20%), business consulting (about 10%), telecommunications (about 10%), and IT services and IT consulting (about 10%). The most consistently active employers were CACI, Booz Allen, Deloitte, Dataroles, and Loenbro, and hiring was fragmented rather than dominated by one employer. The practical takeaway is that Denver demand appears strongest where analytics sits close to contracts, operations, and enterprise transformation—not only in consumer-tech product teams. That matches the local work-style mix as well: about 55% of postings were on-site, about 40% hybrid, and about 10% remote, while about 50% of roles skewed senior. Candidates who can work across Python, SQL, machine learning, and business-facing communication should do better than candidates selling a single tool or a purely academic AI profile.

Which employers are hiring the most Data, Analytics & AI talent in Denver-Aurora-Centennial, CO?

Recent postings show the most activity from CACI (10 postings), Booz Allen (5 postings), Deloitte (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Denver-Aurora-Centennial, CO be done remotely?

Of recent postings, 10% are remote and 40% hybrid, with 55% 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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