Is Data, Analytics & AI a Good Job Market in Tampa-St. Petersburg-Clearwater, FL?

Executive Verdict

Market rating: competitive | Confidence: High

Tampa is a workable but competitive market for data, analytics, and AI roles. Metro Professional and Business Services employment grew 2.1216% year over year in August 2026, but local unemployment was 4.7% and metro Information employment was down 5.6106% year over year, which points to demand outside pure tech-first employers.[28][18][23] Statewide signals for the occupation family are mixed: Florida data, analytics & AI postings were up 1.4% year over year in September 2026, while employment in the field was down 1.1%.[17][16] Pay is still attractive, with local BLS medians around $109,990 for data scientists and $109,660 for operations research analysts, but the local opening mix skews mid-career and mostly on-site or hybrid.[35][38][15][14]

Best positioned: Your best odds are as a mid-career analyst or data scientist who can show Python, SQL, visualization, and domain depth in consulting, healthcare, government, or financial services, and who is open to on-site or hybrid work.[5][1][14]

Main caution: The biggest mistake is assuming the national AI boom means easy local entry: only about 5% of sampled openings are entry-level, and only about 5% of postings that state sponsorship policy mention visa sponsorship.[15][25]

What Changed Recently

• Tampa's demand mix tilted further toward business-facing employers: metro Professional and Business Services employment reached 288.8 thousand in August 2026 and grew 2.1216% year over year, while metro Information fell to 28.6 thousand and was down 5.6106%.[28][23]: That makes consulting, services, government, healthcare, and enterprise analytics safer targets than waiting for a tech-platform-heavy rebound.
• Florida occupation signals turned mixed instead of clearly expansionary: data, analytics & AI active postings were up 1.4% year over year in September 2026, but employment in the field was down 1.1%.[17][16]: This usually feels like selective hiring and replacement hiring, not a broad hiring spree.
• A local proxy read on data scientist hiring improved: 112 postings appeared over 86 days in Tampa, averaging about 8 per week, and weekly volume rose from 10 to 14 during the observation window.[3]: There is real demand for applied data science, but it is still a narrower slice than the whole category.
• The national backdrop stayed steady rather than hot: U.S. unemployment was 4.2% in September 2026, total nonfarm payrolls were up 0.3128% year over year, and CPI was up 3.0% in August 2026.[26][44][27]: Employers are still hiring, but they have less urgency than in a boom, so interview cycles can stay selective and compensation negotiations may be tighter.
• Local AI adoption signals strengthened: Tampa-based STELLA Automotive AI raised $22.1 million, and Tampa General said its AI assistants had handled 2 million calls while its predictive analytics work helped reduce sepsis mortality by more than half.[45][29]: The local market is rewarding applied analytics tied to operations and measurable outcomes, not just model-building credentials.

What This Means for You

Entry-Level Candidates

Difficulty: High. Only about 5% of sampled openings are entry-level, and the local market is much more tilted toward mid and senior hiring.[15]

Best target: Aim for business-facing analyst roles that need SQL, Python or R, and Power BI/Tableau in healthcare, consulting, government, or local research teams rather than pure AI-branded titles.[5][1][4]

Biggest mistake: Applying only to data scientist titles and assuming remote flexibility; local work arrangements are about 65% on-site, about 30% hybrid, and about 5% remote.[14]

Next step: Build two portfolio pieces around a Tampa-style stack: one dashboard case in Power BI or Tableau and one Python/SQL analysis with clear business recommendations.[5][4]

Mid-Career Candidates

Difficulty: Moderate. This is the market's sweet spot, with about 55% of sampled openings at mid level and about 30% at senior level.[15]

Best target: Target consulting, public sector, healthcare, and financial-services analytics roles where employers need stakeholder-facing problem solvers, not just model builders.[1][3][2]

Biggest mistake: Leading with generic AI language instead of evidence that you can ship decisions, dashboards, experiments, forecasting, or model validation in a real operating environment.[2][29]

Next step: Create two resume versions: one for BI and decision-support roles centered on SQL and visualization, and one for data science roles centered on Python, machine learning, and model validation.[5][2]

Career Switchers

Difficulty: High but possible if you pivot through domain-heavy roles. Most postings that state education requirements still center on a bachelor's degree, and the market values applied business translation as much as technical skill.[43][2]

Best target: Switch into analyst jobs inside your current domain first, especially finance, healthcare, operations, or public sector settings, before aiming for broader data scientist roles.[1][3][29]

Biggest mistake: Trying to compete on tools alone against experienced candidates; local employers already see plenty of Python and SQL applicants, so domain credibility has to carry part of your case.[5][15]

Next step: Translate your past work into measurable analysis stories, then add one employer-readable credential such as PL-300 or the Google Data Analytics certificate to reduce screening friction.[31]

Salary Reality

high pay highly concentrated

Observed government data shows solid pay for the best-defined local subroles. Tampa data scientists had a 2025 median wage of $109,990, with a 25th-75th percentile band of $85,410 to $136,120, while operations research analysts had a $109,660 median and a $91,240 to $145,950 band.[34][35][36][37][38][39] Broader posting-based signals are directionally similar but should be read as proxy data: local posted salary ranges centered on about $95k to $165k, and Florida's mean offered salary on new openings for the category was ~$110,404 in September 2026 (n=1,592).[13][40]

That is good pay for Tampa. The metro's average hourly wage across all occupations was $31.96 in May 2025, versus $52.34 for the broader computer-and-mathematical group that includes many data jobs.[10]

The salary upside comes with selectivity. Only about 5% of sampled openings are entry-level, most roles are mid or senior, and about 65% of local openings are on-site.[15][14]

Best-paying path: The strongest pay tends to sit in data scientist and advanced analytics tracks, especially where machine learning, domain expertise, or regulated-industry judgment matter; local mean pay was $116,600 for data scientists and $124,370 for operations research analysts in 2025.[7][9]

Caution: Do not read top-end salary figures as typical. The local 90th-percentile wage reached $161,480 for data scientists and $178,490 for operations research analysts, but those figures describe the upper tail rather than the median hire.[41][42]

Where the Opportunities Are Concentrated

The clearest local pattern is business-facing analytics rather than pure lab-style AI. In the local posting mix, software development and government/public sector each account for about 20% of activity, while healthcare, business consulting, and IT services/consulting are each about 15%.[1] The named-employer sample is fragmented rather than dominated by one buyer, but recurring hirers include Deloitte, Booz Allen, CACI, SPEROS, Clarity Innovations, TD SYNNEX, KPMG, and Moffitt.[12][24] That means Tampa job seekers should think in domains. Consulting and public-sector-adjacent employers reward BI, reporting, decision support, and client-facing analysis; healthcare has visible analytics adoption through employers such as Moffitt and Tampa General; and financial-services analytics shows up through Raymond James and Citi in the local data scientist sample.[12][29][3] Pure remote-first AI roles are the exception locally, with about 65% of sampled openings on-site and about 30% hybrid, so your odds improve if you can commute and work across analyst, BI, and applied data science titles.[14] The weak spot is tech-only employer concentration. Metro Information employment was down 5.6106% year over year in August 2026, so candidates waiting only for consumer-tech-style openings may see longer searches.[23]

• Consulting and public-sector analytics (high): This is one of the strongest local clusters, supported by about 15% of posting activity in business consulting and about 20% in government/public sector, with named employers including Deloitte, Booz Allen, CACI, and KPMG.[1][12]
• Healthcare analytics and decision support (high): Healthcare represents about 15% of local category activity, Moffitt appears among active employers, and Tampa General is publicly scaling AI-enabled operational and predictive analytics use cases.[1][12][29]
• Financial-services and enterprise analytics (moderate): Financial-services demand is narrower but real, with Raymond James and Citi leading the named employers in one local data scientist sample.[3]

Where to focus: Prioritize domain-heavy analyst and data science roles in consulting, healthcare, and public-sector ecosystems, and treat pure ML-only openings as opportunistic rather than your core search.

Skills and Credentials Worth Pursuing

• SQL (table stakes): SQL is the most repeatedly confirmed local requirement: it appeared in 57 Tampa data scientist postings in one local analysis and in about 40% of the broader local sample.[3][5]
• Python (table stakes): Python is the local baseline for applied analytics and AI work, showing up in 49 Tampa data scientist postings in one sample and in about 80% of the broader local sample.[3][5]
• Power BI or Tableau (differentiator): Visualization is part of the practical local toolkit: about 30% of the broader sample asked for data visualization, and a local Tampa Bay Partnership analyst posting explicitly valued Tableau or Power BI exposure.[5][4]
• Machine learning and PyTorch (premium): ML skills help most when you are targeting the narrower high-pay slice of the market. Machine learning showed up in about 30% of the local sample, and PyTorch in about 20%.[5]
• Prompt engineering and AI-assisted analytics workflows (differentiator): Prompt engineering appeared in about 15% of the local sample, and broader 2026 guidance says it is becoming a useful skill for working effectively with AI tools.[5][32]
• Business context translation and model validation (premium): The highest-value analyst skills in 2026 are increasingly business context translation, stakeholder communication, and model validation rather than technical skill alone.[2]
• TS/SCI clearance (premium): It is not common across the whole market, but about 5% of local postings explicitly called for TS/SCI clearance, which can materially improve odds with defense and public-sector-adjacent employers.[33]
• Microsoft Certified: Power BI Data Analyst Associate (PL-300) (differentiator): PL-300 is one of the clearer employer-readable analyst credentials in 2026, and it maps well to local demand for visualization and dashboarding.[31][4]

Adjacent Roles to Consider

• Business Analyst (bridge): Local demand clusters in consulting, IT services, and government/public sector, where requirements gathering, dashboard use, and stakeholder communication can matter as much as modeling.[1][2]
• Financial Analyst / FP&A Analyst (both): Financial-services employers show up in the local hiring mix, including Raymond James and Citi in the Tampa data scientist sample.[3]
• Research or Policy Analyst (bridge): A local Research & Data Analyst posting asked for Excel plus R, Python or SQL and Tableau/Power BI exposure, which makes this a realistic bridge for narrative-heavy analysts.[4]
• Revenue Operations or GTM Operations Analyst (pivot): These roles use the same SQL, BI, and business-translation core that local employers already reward in analytics hiring.[5][2]

30 / 60 / 90-Day Plan

First 30 Days

• Rewrite your resume into two versions: one for analyst/BI roles and one for data science roles, using the local skill cluster around Python, SQL, R, machine learning, data visualization, and prompt engineering.[5]
• Set search filters for on-site and hybrid jobs within commuting distance, not just remote, because about 65% of local openings are on-site and about 30% are hybrid.[14]
• Build one portfolio case tied to a Tampa-heavy domain such as healthcare operations, consulting decision support, or public-sector reporting instead of another generic Kaggle notebook.[1][29]
• Screen constraints early: if you need sponsorship, check policy before applying because only about 5% of postings that state policy mention visa sponsorship.[25]

Days 31-60

• Run employer-specific application sprints against the local long tail, starting with firms such as Deloitte, Booz Allen, CACI, Moffitt, Raymond James, and Citi rather than mass-applying nationally.[12][3]
• Publish one dashboard project and one Python/SQL project with an executive memo so you can demonstrate both technical execution and business translation.[5][2]
• Attend local community events where hiring-adjacent conversations happen; a Tampa Bay Data Analytics & AI meetup in early October showed 92 attending on the listing.[30]
• If your profile is BI-leaning, add PL-300 or another recognized analytics credential to give recruiters a fast screening signal.[31]

Days 61-90

• If data scientist traction is weak, broaden titles deliberately into Business Analyst, Research Analyst, Financial Analyst, or Revenue Operations Analyst rather than waiting for a perfect AI title.[4][3]
• Add one project that shows AI-assisted workflow skill, such as prompt-driven analysis, code generation with review, or model validation, because local demand already includes prompt engineering and national guidance favors AI-augmented analysts.[5][32][2]
• If you are eligible for defense or public-sector work, prioritize roles where clearance can become an advantage, since TS/SCI appears in about 5% of the local sample.[33]
• If you remain remote-only after 90 days, expand your geography; local remote openings account for only about 5% of the sample.[14]

Methodology and Confidence

This September 2026 report was generated on October 10, 2026. Latest direct national data: October 2026. Latest direct Tampa-St. Petersburg-Clearwater, FL data: September 2026.

Confidence: Overall confidence: High. Based on 29 direct local occupation data points and 49 total local evidence items with recent coverage.

Limitations

• The freshest broad local labor-market context here is from August 2026, but the most specific government wage and occupation counts for key subroles are annual 2025 estimates, so current hiring conditions can move faster than the wage tables.[6][7][8][9][10]
• This category bundles several sub-markets together, and the strongest local government detail is for data scientists and operations research analysts rather than every BI analyst, analytics engineer, or AI title discussed on the page.[6][8]
• The Callings.ai job database is a partial, deduplicated sample of online postings, so direction of demand, leading employer names, and skill patterns are more reliable than exact counts or exact percentage shares.[11][5][12][13][14][15]
• Statewide labor data was used as a proxy where metro-level Revelio Public Labor Statistics is not published, so Florida-level changes in data and AI employment or postings may not match Tampa exactly.[16][17]
• Several August 2026 unemployment and labor-force year-over-year changes are preliminary, and small moves can be revised in later releases.[18][19][20][21]

References

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2. Improvado. Will AI Replace Data Analysts? 2026 Reality Check · 2026-09 · improvado.io
3. Getuhired. Data Scientist Jobs in Tampa 2026 | Get U Hired · 2026-09 · getuhired.co
4. Tampabay. Job Opening | Research & Data Analyst - Tampa Bay Partnership · 2026-08 · tampabay.org
5. Callings.ai. Callings.ai job-market aggregation · 2026-09 · callings.ai
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11. Callings.ai. Callings.ai job-market aggregation · 2026-09 · callings.ai
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27. Federal Reserve Economic Data. Consumer Price Index for All Urban Consumers: All Items in U.S. City Average · 2026-08 · fred.stlouisfed.org
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29. Tbbwmag. Tampa General’s AI Assistants Handle 2 Million Calls, Cut Wait Times 58% · 2026-09 · tbbwmag.com
30. Tampa. Data Analytics & AI - Tampa Bay - October MEETUP | Tampa.dev · 2026-10 · tampa.dev
31. Traecta. Top 5 Certifications for Aspiring Data Analysts in 2026 · 2026-09 · traecta.com
32. Askmetraining. You are being redirected... · 2026-09 · askmetraining.in
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40. Reveliolabs. Salaries — Revelio Public Labor Statistics (RPLS) · 2026-09 · reveliolabs.com
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43. Callings.ai. Callings.ai job-market aggregation · 2026-09 · callings.ai
44. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-09 · data.bls.gov
45. Tbbwmag. Tampa Startup Raises $22.1 Million to Expand AI for Car Dealerships · 2026-09 · tbbwmag.com

Live Openings in This Market

This report is published monthly; its companion page tracks the active Data, Analytics & AI openings in Tampa-St. Petersburg-Clearwater, FL from the live Callings.ai job index. Browse current Data, Analytics & AI openings in Tampa-St. Petersburg-Clearwater, FL.