Data Analyst Jobs in Phoenix, AZ

Observed pay is strong but uneven. As one concrete local anchor, BLS shows Phoenix data scientists at a $114,540 median, $85,530 at the 25th percentile, and $136,710 at the 75th percentile in 2025; a much narrower research-heavy occupation in the same family had only 160 local jobs and a $164,460 median, which shows how much the top end depends on specialization.

Full September 2026 market report

Advertised pay

Across the 41 openings that disclose pay, the advertised range midpoint runs $93,995 at the 25th percentile, $139,500 at the median and $160,000 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 81 openings.

Open all in AI Job Search

What our analysts see this month

Competitive market | next 3-6 months

Phoenix is a real market for Data, Analytics & AI, but it is not an easy one right now. Arizona occupation-level signals show active postings up 38.5% year-over-year while employment in the field is down 0.5% year-over-year, which looks more like churn, backfills, and selective expansion than a broad hiring wave. In the metro, Professional and Business Services employment rose 2.0462% year-over-year and Information employment rose 3.2258% year-over-year in August 2026, but metro unemployment was 4.9% and up 13.9535% year-over-year, so employers still have room to be picky.

Best positioned: You have the best odds if you already bring Python and SQL, can show machine learning or generative-AI work, and can sell that experience into financial services, consulting, or healthcare employers, which make up about 30%, about 15%, and about 10% of sampled local demand.

Main caution: The biggest trap is assuming that strong AI buzz means easy entry: only about 20% of sampled local roles were entry-level, and a recent study found a 16% employment decline for workers ages 22-25 in AI-exposed jobs since November 2022.

From the September 2026 market report

Who is hiring here

Counted across all 81 openings in this market. 8 of the employers below are hiring for more than one role right now.

1. American Express: 4 open roles
2. Cognizant Technology Solutions Corporation: 3 open roles
3. Deloitte: 2 open roles
4. DriveTime: 2 open roles
5. Machine Intelligence LLC: 2 open roles
6. Phx Fwd: 2 open roles
7. Prosum: 2 open roles
8. State Farm: 2 open roles
9. Alignerr Corp.: 1 open role
10. Amazon: 1 open role

Where the openings are

• Phoenix: 40
• Tempe: 12
• Scottsdale: 11
• Chandler: 5
• Mesa: 3
• Gilbert: 2
• Irvine: 1
• San Diego: 1

Work arrangement

on-site 38 (47%), hybrid 30 (37%), remote 13 (16%)

Where the demand is

Most real opportunity is spread across several employer types rather than one dominant local buyer. In the recent sample, hiring was fragmented, with more than 50 postings across more than 40 companies over the last 90 days; the most consistently active names included American Express, Deloitte, NewRocket, Inc., Celerion, Cable One, Inc., Achieve, Marketech International Corp., and Kpmg Us. Industry mix matters more than title labels. About 30% of sampled postings came from financial services, about 15% from business consulting, about 10% from hospitals and health care, and another about 10% each from software-development and IT-services employers hiring into data-oriented work. That means the safest search strategy is to choose one business domain and show how you solve its decisions, not just how you use tools.

• Financial services analytics and decisioning (high): This is the largest visible local lane at about 30% of sampled postings, with employers such as American Express and Achieve appearing in the active set.
• Consulting and client-delivery analytics (high): Business consulting accounts for about 15% of sampled demand, and firms such as Deloitte, NewRocket, Inc., and Kpmg Us show up among the more active employers.
• Healthcare and life-sciences analytics (moderate): Hospitals and health care represent about 10% of sampled local demand, with Celerion also appearing among active employers.
• Research-heavy AI or advanced ML specialist roles (limited): These roles can pay very well, but the local footprint is much smaller; one research-heavy BLS occupation shows only 160 local jobs, which is a reminder not to treat niche AI pay as the center of the market.

Where to focus: Pick one domain—financial services first, consulting second, healthcare third—and build your applications around business problems in that domain rather than broad 'data' branding.

Roles worth searching next

• Business operations analyst: A practical bridge for candidates who can analyze process, KPIs, and workflow but are not yet strong enough for specialist data-science hiring.
• Financial analyst or risk analyst: Financial services are the largest visible local demand pocket at about 30% of sampled postings, so finance-heavy analytical roles can be a practical crossover path.
• Clinical informatics or healthcare quality analyst: Hospitals and health care account for about 10% of sampled local demand, giving healthcare domain specialists a plausible entry point.
• Management consultant with analytics focus: Business consulting represents about 15% of sampled local demand, and firms such as Deloitte and Kpmg Us appear in the active employer set.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 75% of sampled local postings, making it the clearest screening skill across the category. Who: Everyone except candidates targeting purely adjacent business roles.
• SQL (table_stakes | immediate): SQL shows up in about 45% of sampled local postings and is still the core language of real-world data access and validation. Who: Entry-level candidates, switchers, and analysts moving upmarket.
• Machine learning (differentiator | near-term): Machine learning appears in about 25% of sampled local postings, which helps separate candidates from reporting-only profiles. Who: Mid-career applicants and juniors trying to reach beyond dashboard work.
• Generative AI and prompt engineering (differentiator | immediate): Generative AI appears in about 20% of sampled local postings and prompt engineering in about 15%, while broader 2026 evidence says AI literacy and output validation are increasingly expected. Who: Analysts and data scientists who want to stay current without rebranding into software engineering.
• Data visualization and Power BI-style reporting (table_stakes | near-term): Data visualization appears in about 15% of sampled local postings, and national hiring guidance still flags Power BI as in demand. Who: Entry-level candidates, switchers, and domain experts bridging into analytics.
• Azure certification (differentiator | near-term): Azure certification shows up in about 5% of sampled local postings; that low share makes it less of a baseline and more of a tie-breaker for cloud-heavy teams. Who: Candidates lacking clear cloud credibility or trying to move from analyst into platform-adjacent analytics work.

Questions about this market

What do Data, Analytics & AI roles pay in Phoenix-Mesa-Chandler, AZ?

Observed pay is strong but uneven. As one concrete local anchor, BLS shows Phoenix data scientists at a $114,540 median, $85,530 at the 25th percentile, and $136,710 at the 75th percentile in 2025; a much narrower research-heavy occupation in the same family had only 160 local jobs and a $164,460 median, which shows how much the top end depends on specialization. This is a better-paying market than the metro average: Phoenix computer-and-mathematical occupations averaged $54.15 per hour in May 2025 versus $33.48 across all occupations.

Where is demand for Data, Analytics & AI roles in Phoenix-Mesa-Chandler, AZ concentrated?

Most real opportunity is spread across several employer types rather than one dominant local buyer. In the recent sample, hiring was fragmented, with more than 50 postings across more than 40 companies over the last 90 days; the most consistently active names included American Express, Deloitte, NewRocket, Inc., Celerion, Cable One, Inc., Achieve, Marketech International Corp., and Kpmg Us. Industry mix matters more than title labels. About 30% of sampled postings came from financial services, about 15% from business consulting, about 10% from hospitals and health care, and another about 10% each from software-development and IT-services employers hiring into data-oriented work. That means the safest search strategy is to choose one business domain and show how you solve its decisions, not just how you use tools.

Which employers are hiring the most Data, Analytics & AI talent in Phoenix-Mesa-Chandler, AZ?

Recent postings show the most activity from American Express (5 postings), Deloitte (5 postings), NewRocket, Inc. (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Phoenix-Mesa-Chandler, AZ be done remotely?

Of recent postings, 15% are remote and 40% hybrid, with 45% 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.

Explore related openings

Data, Analytics & AI jobs in other metros

• Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
• Atlanta-Sandy Springs-Roswell, GA
• New York-Newark-Jersey City, NY-NJ
• Indianapolis-Carmel-Greenwood, IN
• Austin-Round Rock-San Marcos, TX
• Columbus, OH
• Los Angeles-Long Beach-Anaheim, CA
• Seattle-Tacoma-Bellevue, WA

Other roles in Phoenix-Mesa-Chandler, AZ

• Human Resources, Recruiting & People Operations
• Design, Creative & UX
• Software, IT & Cybersecurity
• Marketing, Communications & Content
• Operations, Supply Chain & Logistics
• Legal, Compliance & Risk
• Finance & Accounting
• Engineering & Scientific

Browse all job openings | Browse jobs by title and state | Browse all job market reports