Is Data, Analytics & AI a Good Job Market in Houston-Pasadena-The Woodlands, TX?

Executive Verdict

Market rating: competitive | Confidence: High

Houston is a competitive but worthwhile market for Data, Analytics & AI over the next 3-6 months. Metro unemployment was 4.2% in June 2026, Houston professional and business services employment reached 580.1 thousand and was up 2.2023% year over year, and we observed more than 100 recent postings across more than 75 companies.[29][11][14] The catch is that the opening mix skews mid-level and mostly on-site or hybrid, with about 45% mid-level roles, about 20% entry-level roles, and about 15% remote roles.[1][2]

Best positioned: The best odds right now go to candidates who can pair Python and SQL with business-facing reporting or automation work, especially in energy, healthcare, and consulting settings.[4][3][22]

Main caution: Do not mistake high posted salary bands for broad accessibility: local postings center on about $108k to $160k, but entry-level Houston data analyst pay proxies sit closer to a $60,000-$82,000 total-comp band or around $63,292 starting pay.[15][17][16]

What Changed Recently

• Texas-wide Data, Analytics & AI employment was down 0.8% year over year in July 2026 even as active postings were up 28.5% year over year.[12][13]: That mix usually means more backfills, re-scoped jobs, and selective hiring rather than easy expansion.
• Houston professional and business services employment reached 580.1 thousand in June 2026 and was up 2.2023% year over year.[11]: That supports consulting, advisory, and enterprise analytics roles more than a broad junior hiring wave.
• National job openings stood at 7,359 thousand in June 2026 with a 4.4% openings rate, while the hires rate held at 3.4% year over year.[19][20][35]: Reqs are staying open, but employers are not rushing to fill them, so interview cycles can drag.
• A Houston data analyst posting from Daxwell explicitly combined reporting, visualization, automation, and AI-enabled solutions, and more than one-third of entry-level jobs nationally now require some AI competency.[22][23]: Baseline analyst candidates now need to show AI-assisted workflow judgment, not just spreadsheet or dashboard work.
• Baker Hughes filed a Houston WARN notice on July 1, 2026 affecting 174 employees over July 2026 through April 2027.[30]: Even though it is not a data-specific layoff notice, it is a reminder that energy-linked employers may manage headcount carefully.

What This Means for You

Entry-Level Candidates

Difficulty: Harder than average because only about 20% of sampled roles were entry-level and remote roles were only about 15% of the mix.[1][2]

Best target: Target analyst roles in energy, healthcare, and consulting that lean on SQL, Python, visualization, and reporting rather than pure model-building.[3][4]

Biggest mistake: Applying as a generic data candidate without a portfolio that shows business questions, clear metrics, and at least one automation or AI-assisted workflow.

Next step: Build two portfolio pieces in the next month: one dashboard for an operations problem and one Python/SQL workflow that automates a repetitive analysis task.

Mid-Career Candidates

Difficulty: Manageable if you can show production analytics ownership, stakeholder influence, and domain expertise, because about 45% of sampled roles were mid-level and about 25% were senior.[1]

Best target: Aim at enterprise and consulting employers, which account for about 45% of sampled postings and include active names such as Deloitte, Friedkin, and Ernst & Young LLP.[5][6]

Biggest mistake: Leading with tooling alone instead of tying your work to revenue, cost, risk, or operational outcomes.

Next step: Rework your resume around three quantified business wins and create one version for enterprise analytics and another for consulting-style client work.

Career Switchers

Difficulty: Hard, but better than a cold restart if you can reuse prior industry knowledge from operations, healthcare, energy, or finance.[3]

Best target: Position yourself for operations, reporting, or decision-support roles where domain context can outweigh a weaker pure-statistics background.

Biggest mistake: Trying to leap straight into AI engineer branding before proving analyst-level delivery.

Next step: Pick one target domain, translate your prior work into metrics language, and build a case study using that domain's KPIs rather than a generic practice project.

Salary Reality

high pay highly concentrated

The clearest direct local wage anchor is older BLS data showing Houston data scientists at $104,040 mean annual pay in May 2023.[7] Newer local proxies place Houston data analysts around $88,200 median, with entry-level pay around $63,292 and experienced analyst pay about $116,424, while entry-level total compensation centers on $75,000 with a $60,000-$82,000 band.[16][17]

This is still good Houston pay relative to living costs that run 7.0% below the national urban average, but the market pays up mainly when you bring specialization or clear business ownership.[36]

Recent local posted salary ranges center on about $108k to $160k, yet only about 20% of sampled openings were entry-level and only about 15% were remote, so access tightens fast as pay rises.[15][1][2]

Best-paying path: The strongest pay tends to sit in senior data science, analytics engineering, and AI-heavy roles: Texas data/AI openings show a mean offered salary of about $123,548, U.S. analytics engineers average about $115,000, and mid-level U.S. data scientists can reach $138,054-$174,890.[37][24][38]

Caution: Top-end numbers are mostly posted ranges or national benchmarks rather than guaranteed Houston offers, and they can overrepresent larger employers and specialized openings.[15][39][38]

Where the Opportunities Are Concentrated

Real opportunity is concentrated in business-facing domains, not in a single generic AI bucket. In the recent Houston sample, energy accounted for about 30% of postings, healthcare about 15%, technology about 15%, software development about 10%, and professional services or consulting about 10%.[3] Enterprise employers supplied about 45% of postings, and the named employer mix was fragmented rather than dominated by one company; the most active names included Deloitte, Friedkin, Ernst & Young LLP, Matricstek Inc, YO IT Consulting, and Bain & Company.[5][6][28] The second concentration is by role level and work style. About 45% of sampled roles were mid-level, about 25% senior, and only about 20% entry-level, while about 45% were on-site and about 40% hybrid.[1][2] Typical active postings had been open around 41 days, and at least one local analyst role explicitly blended reporting, visualization, automation, and AI-enabled solutions.[32][22] That means the best odds sit with candidates who can work close to operations and stakeholders, show modern tooling, and tolerate limited remote availability.

• Consulting and enterprise analytics (high): Large employers and advisory firms are a major part of the market, with enterprise companies making up about 45% of sampled postings and consulting names appearing repeatedly in the active-employer list.[5][6]
• Energy and industrial analytics (high): Energy is the single biggest local concentration at about 30% of sampled postings, which makes operational reporting, forecasting, and decision support especially relevant.[3]
• Healthcare and life-sciences analytics (moderate): Healthcare made up about 15% of sampled postings, and Houston's planned biomanufacturing hub expansion points to adjacent analytics demand in regulated operations and research support.[3][34]
• Pure remote junior analyst roles (limited): This is the thinnest slice of the market because only about 20% of sampled roles were entry-level and only about 15% were remote.[1][2]

Where to focus: Focus first on hybrid mid-level analytics roles in enterprise energy, healthcare, and consulting organizations, where the market is deepest and business-facing work is valued.

Skills and Credentials Worth Pursuing

• Python (table stakes): Python appeared in about 65% of sampled Houston postings, making it the clearest screening skill across analyst, BI, and data science roles.[4]
• SQL (table stakes): SQL showed up in about 55% of sampled local postings, so weak SQL is still one of the fastest ways to get filtered out.[4]
• Power BI and data visualization (differentiator): Power BI appeared in about 25% of sampled postings, Tableau in about 15%, and data visualization in about 20%, so clear dashboard output still matters in a market that wants analysis translated for operators and executives.[4]
• Machine learning and AI-assisted analysis (premium): Machine learning appeared in about 25% of local postings, a Houston analyst job explicitly called for AI-enabled solutions, and more than one-third of entry-level jobs nationally now ask for some AI competency.[4][22][23]
• dbt, Snowflake, and cloud pipelines (differentiator): Local postings mentioned data pipelines in about 15% of cases, while analytics-engineer pay guidance points to dbt, Snowflake, and cloud pipelines as core skills for better-paid modern analytics work.[4][24]
• Prompt engineering and LLMOps QA (premium): Prompt engineering is now treated as a critical skill, and 2026 role forecasts emphasize LLMOps tasks such as orchestration, cost control, and monitoring for prompt drift.[25][26]
• AWS Certified Solutions Architect (differentiator): This certification appeared in less than 5% of sampled local postings, so it is not a baseline requirement, but it can help if you are targeting cloud-heavy analytics engineering or AI platform-adjacent work.[27][24]

Adjacent Roles to Consider

• Business operations analyst (bridge): Houston demand is concentrated in energy, healthcare, and consulting, so candidates who can turn data into operational decisions can often move into adjacent ops-analysis roles.[3]
• Financial analyst or FP&A analyst (pivot): Enterprise employers represent about 45% of the sampled market, which tends to reward budgeting, variance analysis, and executive reporting alongside analytics tools.[5]
• Supply chain or operations planning analyst (both): Energy and healthcare employers often need KPI, forecasting, and process analytics even when pure data-science headcount is tight.[3]
• Life sciences operations or research analyst (pivot): Houston's Generation Park biomanufacturing hub expansion points to adjacent data-heavy work in regulated operations and research support.[34]

30 / 60 / 90-Day Plan

First 30 Days

• Split your resume into two tracks: business-facing analytics and advanced analytics, so hiring managers do not have to guess which lane you fit.
• Build one Houston-relevant energy case study and one healthcare case study using messy operational data rather than tutorial datasets.
• Create a target list of 30 employers across enterprise, consulting, energy, and healthcare instead of waiting for remote-only openings.
• Add a one-page AI workflow appendix that shows how you use prompts, QA checks, and automation safely in analysis work.

Days 31-60

• Publish two portfolio artifacts publicly: one dashboard and one notebook or SQL pipeline with clear business recommendations.
• Run a weekly outreach cadence to analytics managers, consultants, and business leaders in Houston, asking for domain-specific conversations rather than generic referrals.
• If you are missing modern data-stack experience, build a mini project with dbt-style transformations, testing, and documentation.
• If you are early career, apply to contract, temp-to-hire, and hybrid roles first; that widens the realistic funnel in a market with limited remote availability.[2]

Days 61-90

• Broaden your search into business operations, FP&A, supply chain, and healthcare decision-support roles if pure data titles are not converting.
• Use interview feedback to re-rank yourself into one lane: analyst, BI, analytics engineering, or data science; mixed positioning usually underperforms.
• If you need formal retraining, compare short programs now eligible for Workforce Pell Grants worth up to $7,395 for 2026-27.[21]
• Add a local commute radius and on-site availability statement if you have been filtering only remote jobs.

Methodology and Confidence

This July 2026 report was generated on August 10, 2026. Latest direct national data: July 2026. Latest direct Houston-Pasadena-The Woodlands, TX data: July 2026.

Confidence: Overall confidence: High. Based on 6 direct local occupation data points and 15 total local evidence items with recent coverage.

Limitations

• The best direct Houston occupation wage anchor in this report is from the Bureau of Labor Statistics and reflects May 2023 data for data scientists, so use it as a baseline rather than as a live 2026 offer market.[7]
• Several June 2026 Texas and Houston year-over-year government figures used here are preliminary and can be revised in later releases.[8][9][10][11]
• Statewide labor data was used as a proxy where metro-level Revelio Public Labor Statistics is not published, so Texas Data, Analytics & AI employment and posting trends may not move exactly the same way as the Houston metro.[12][13]
• The Callings.ai job database is a partial, deduplicated sample of online postings, so demand direction, leading employer names, and skill patterns are more reliable than exact posting counts or exact shares.[14][6][3][4]
• Some 2026 local pay figures come from salary aggregators or posted ranges rather than government wage surveys, and this category bundles analyst, BI, data science, analytics engineering, and AI-heavy titles, so narrow sub-roles can pay and hire very differently from the blended market shown here.[15][16][17]

References

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5. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
6. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
7. Bureau of Labor Statistics. U.S. Bureau of Labor Statistics · 2024-04 · bls.gov
8. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
9. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
10. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
11. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
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13. Reveliolabs. Job Openings — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
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15. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
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17. Levels. Levels - median_total_comp_annual · 2026-08 · levels.fyi
18. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-07 · data.bls.gov
19. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
20. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
21. Mastersindatascience. Data Science & Analytics Bootcamps in Houston, TX · 2026-05 · mastersindatascience.org
22. Bebee. Data Analyst - Daxwell · 2026-08 · bebee.com
23. Campus. AI Skills Employers Want in 2026: Top 5 to Learn · 2026-07 · campus.edu
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27. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
28. Bureau of Labor Statistics. Houston-Sugar Land-Baytown, TX Economy at a Glance · 2026-07 · bls.gov
29. Twc. Texas Workforce Commission · 2026-07 · twc.texas.gov
30. Reveliolabs. Mass-layoff Notices — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
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32. Callings.ai. Callings.ai job-market aggregation · 2026-07 · callings.ai
33. Houston. Generation Park to Expand Houston’s Life Sciences Ecosystem with New Biomanufacturing Hub | Houston.org · 2026-07 · houston.org
34. Bureau of Labor Statistics. Bureau of Labor Statistics Data · 2026-06 · data.bls.gov
35. Houston. Houston | Greater Houston Partnership · 2026-02 · houston.org
36. Reveliolabs. Salaries — Revelio Public Labor Statistics (RPLS) · 2026-07 · reveliolabs.com
37. Motionrecruitment. 2026 Data Scientist and Data Science Engineer Salary Guide · 2025-12 · motionrecruitment.com
38. Robert Half. 2026 Tech and IT Salaries and Compensation Trends · 2025-10 · roberthalf.com

Live Openings in This Market

This report is published monthly; its companion page tracks the active Data, Analytics & AI openings in Houston-Pasadena-The Woodlands, TX from the live Callings.ai job index. Browse current Data, Analytics & AI openings in Houston-Pasadena-The Woodlands, TX.