75+ Data & Analytics Jobs in Phoenix, AZ

Observed local pay is solid but not uniformly elite. BLS puts Phoenix data scientists at a $114,540 median annual wage, and the metro's broader computer and mathematical occupations average $57.73 an hour versus $54.15 nationally. Separately, Phoenix wages and salaries rose 4.1% over the year ended June 2026, which supports continued pay pressure. Proxy signals point in the same direction: local posted ranges center on about $102k to $128k, BI analyst pay is estimated around $101,850, and KORE1's recent Phoenix direct-hire ranges run roughly $88,000 for data analysts, $112,000–$142,000 for engineers and analytics engineers, and $122,000–$155,000 for data scientists.

Full August 2026 market report

Advertised pay

Across the 44 openings that disclose pay, the advertised range midpoint runs $90,259 at the 25th percentile, $109,350 at the median and $157,000 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 80 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Phoenix is a workable but selective market for Data, Analytics & AI right now. Arizona-wide occupation signals are encouraging: Revelio Public Labor Statistics shows active Data, Analytics & AI postings up 35.6% year over year in August 2026 while statewide occupation employment is essentially flat, which usually means real demand but tighter matching. At the same time, the broader Phoenix labor market is softer, with metro unemployment at 4.8% in July 2026 and metro employment down -3.2300% year over year, so job searches can still take longer than candidates expect. Pay remains attractive, with BLS putting Phoenix data scientists at a $114,540 median annual wage and local posted ranges centering on about $102k to $128k.

Best positioned: Candidates with Python, SQL, machine learning, and generative-AI workflow skills who can work hybrid or on-site in finance-heavy or operationally intensive environments have the best odds.

Main caution: The biggest mistake is assuming the market is easy because AI is hot; only about 15% of local postings are remote and only about 5% of postings that state sponsorship policy mention visa sponsorship.

From the August 2026 market report

Who is hiring here

Counted across all 80 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. American Express: 5 open roles
2. Deloitte: 4 open roles
3. Realtor: 4 open roles
4. DriveTime: 3 open roles
5. News Corp: 3 open roles
6. Amazon: 2 open roles
7. az.gov: 2 open roles
8. Kpmg Us: 2 open roles
9. Oracle Cloud: 2 open roles
10. Sitwinc: 2 open roles

Where the openings are

• Phoenix: 45
• Scottsdale: 14
• Tempe: 14
• Mesa: 3
• Chandler: 2
• Milwaukee: 1
• Gilbert: 1

Work arrangement

hybrid 35 (45%), on-site 35 (45%), remote 7 (9%)

Where the demand is

Real opportunities are not evenly spread across the Phoenix metro. In the local posting sample, financial transaction processing accounts for about 35% of category demand and financial services for about 15%, with American Express the clearest repeat employer at more than 20 postings; the employer base is still fragmented overall rather than winner-take-all. The second cluster is applied data infrastructure and AI inside employers that need operational impact quickly. KORE1 reports active Phoenix demand for data engineers, analytics engineers, data analysts, data scientists, and data architects, and says semiconductor employers have started adding sign-on incentives. There are also smaller but useful wedges in healthcare AI and utilities: Phoenix-based MiiHealth AI announced a seed round in August 2026, and Utility Analytics Week 2026 is being held in Phoenix by Salt River Project. This is not a market where one generic resume fits all. The best returns come from targeting one or two domain stories—payments and finance, semiconductor operations, utility analytics, or healthcare workflow AI—and packaging your projects around those use cases.

• Payments and financial services analytics (high): This is the clearest demand center locally, with about 35% of postings in financial transaction processing and about 15% in financial services, plus American Express standing out as the most visible repeat employer in the sample.
• Applied data engineering and analytics engineering (high): Recruiter evidence points to active Phoenix demand for analytics engineers, data engineers, data scientists, and architects, with semiconductor employers reportedly using sign-on incentives to close some roles faster.
• Healthcare and utility data use cases (moderate): This is a smaller but growing pocket, supported by MiiHealth AI's August 2026 seed round and Phoenix-hosted utility analytics activity.
• Generalist remote AI roles (limited): These exist, but the local work mix is still much more on-site and hybrid than remote, so broad national competition is likely to be higher here.

Where to focus: Focus on hybrid or on-site roles where you can show finance or operations impact in Python and SQL, rather than competing nationally for generic remote AI titles.

Roles worth searching next

• Fraud or Risk Analyst: Phoenix's demand center is unusually finance-heavy, so this is a strong bridge for people who can combine SQL, dashboards, and anomaly-detection thinking with business context.
• Business Analyst: This can be a practical entry point if your value is translating business problems into reporting, workflow, and requirements rather than building models from day one.
• FP&A or Decision Support Analyst: Finance-heavy employers create demand for forecasting, planning, and business performance work that overlaps with analytics but sits closer to the finance function.
• Revenue Operations Analyst: This role rewards people who can combine reporting, funnel analysis, data quality, and business process improvement without needing a full ML-heavy background.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 65% of local postings, making it the default screening skill across analyst, data scientist, and ML-adjacent roles. Who: Everyone in this category, especially entry-level and career-switching candidates.
• SQL (table_stakes | immediate): SQL shows up in about 45% of local postings and is the fastest way to prove you can work inside enterprise data environments, especially in finance-heavy employers. Who: Everyone, but especially analyst, BI, and career-switcher profiles.
• Machine learning (premium | immediate): Machine learning appears in about 40% of local postings, and Phoenix recruiter guidance points to live demand for data scientists and analytics engineers rather than only reporting roles. Who: Mid-career candidates and entry-level candidates with strong project proof.
• Generative AI and prompt engineering (differentiator | immediate): Prompt engineering and generative AI each appear in about 25% of local postings, and nearly 45% of data and analytics postings nationally now contain AI-related terms. Who: Everyone, but especially candidates trying to separate themselves from traditional analyst competition.
• Data visualization and BI copilots (differentiator | near-term): Data visualization appears in about 15% of local postings, Phoenix has an active Amazon QuickSight user group, and enterprise BI stacks are layering in tools such as Power BI Copilot, Tableau Pulse/Agent, and ThoughtSpot Spotter Agent. Who: Entry-level candidates, BI-focused candidates, and business-facing analysts.
• AWS and data pipelines (differentiator | immediate): AWS and data pipelines each appear in about 15% of local postings, which makes hands-on movement from source data to business output valuable even for analyst profiles. Who: Mid-career analysts who want to move toward analytics engineering or data science.

Questions about this market

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

Observed local pay is solid but not uniformly elite. BLS puts Phoenix data scientists at a $114,540 median annual wage, and the metro's broader computer and mathematical occupations average $57.73 an hour versus $54.15 nationally. Separately, Phoenix wages and salaries rose 4.1% over the year ended June 2026, which supports continued pay pressure. Proxy signals point in the same direction: local posted ranges center on about $102k to $128k, BI analyst pay is estimated around $101,850, and KORE1's recent Phoenix direct-hire ranges run roughly $88,000 for data analysts, $112,000–$142,000 for engineers and analytics engineers, and $122,000–$155,000 for data scientists. Phoenix pays well enough to justify a focused search, especially because the mean offered salary on new Data, Analytics & AI openings in Arizona was ~$118,532 in August 2026 based on n=1,198, versus ~$79,684 across all Arizona openings.

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

Real opportunities are not evenly spread across the Phoenix metro. In the local posting sample, financial transaction processing accounts for about 35% of category demand and financial services for about 15%, with American Express the clearest repeat employer at more than 20 postings; the employer base is still fragmented overall rather than winner-take-all. The second cluster is applied data infrastructure and AI inside employers that need operational impact quickly. KORE1 reports active Phoenix demand for data engineers, analytics engineers, data analysts, data scientists, and data architects, and says semiconductor employers have started adding sign-on incentives. There are also smaller but useful wedges in healthcare AI and utilities: Phoenix-based MiiHealth AI announced a seed round in August 2026, and Utility Analytics Week 2026 is being held in Phoenix by Salt River Project. This is not a market where one generic resume fits all. The best returns come from targeting one or two domain stories—payments and finance, semiconductor operations, utility analytics, or healthcare workflow AI—and packaging your projects around those use cases.

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

Recent postings show the most activity from American Express (20 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 35% 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.

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