Data Analyst Jobs in San Antonio, TX

Observed government pay is solid but not elite. BLS puts San Antonio data scientists at a $103,290 median, with $78,000 at the 25th percentile and $134,360 at the 75th percentile in annual 2025 data. A narrower specialty, computer and information research scientists, shows a $94,220 median and $107,940 mean locally. By contrast, the current local posting sample centers on about $90k to $133k, and Revelio Public Labor Statistics shows mean offered pay on new Texas data, analytics & AI openings around $123,361 in September 2026 (n=3,863).

Full September 2026 market report

Advertised pay

Across the 34 openings that disclose pay, the advertised range midpoint runs $106,750 at the 25th percentile, $132,500 at the median and $161,500 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 54 openings.

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What our analysts see this month

Competitive market | next 3-6 months

San Antonio is a workable but selective market for Data, Analytics & AI right now. Local labor conditions are mixed: metro unemployment was 4.5% in August 2026, total nonfarm employment was up only 0.5145% year over year, professional and business services grew 4.7742%, and the information sector fell 7.6923%. For this category, the strongest directional signal is that Texas data, analytics & AI postings were up 41.9% year over year even as state employment in the field was down 1.3%, which points to active search activity but careful hiring. Local openings also skew mid-career and hybrid, with about 15% entry-level roles and about 10% remote in the observed sample.

Best positioned: A mid-career analyst or data scientist who can show Python, SQL, and business-facing delivery—and is open to hybrid roles at firms like Booz Allen, USAA, Ernst & Young LLP, or Tata Consultancy Services Limited—has the best odds right now.

Main caution: Nationally, BLS still projects 33.5% growth in data scientist employment through 2034, but the visible local market was only more than 30 postings across more than 20 companies over the last 90 days, so landing speed can still be slow.

From the September 2026 market report

Who is hiring here

Counted across all 54 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. USAA: 6 open roles
2. Whataburger: 3 open roles
3. Abbaben: 2 open roles
4. Ansfederal: 2 open roles
5. Deloitte: 2 open roles
6. Gonzaba Medical Group: 2 open roles
7. GovCIO: 2 open roles
8. Grvty: 2 open roles
9. Trinzic: 2 open roles
10. Vericast: 2 open roles

Where the openings are

• San Antonio: 46
• Elmendorf: 2
• Dallas: 2
• Houston: 2
• Universal City: 1
• Plano: 1

Work arrangement

on-site 37 (73%), hybrid 13 (25%), remote 1 (2%)

Where the demand is

Real opportunity looks concentrated in business-facing analytics rather than pure product-tech teams. San Antonio's information sector was 16.8 thousand jobs in August 2026 and down 7.6923% year over year, while professional and business services reached 162.4 thousand and grew 4.7742%. In the local hiring sample, the most consistently active names were Tata Consultancy Services Limited, Vista Innovative Solutions, LLC, Booz Allen, USAA, and Ernst & Young LLP. That mix points to three practical lanes. First is consulting and contractor work, where employers need Python, SQL, BI, and client-facing problem solving that can move across projects. Second is finance, insurance, and risk-adjacent analytics, supported by USAA's presence and Texas's large financial activities base even though state financial employment was down slightly year over year. Third is applied analytics tied to operations, retail, and public missions: UT San Antonio highlighted local work with H-E-B and the U.S. Army Forensic Toxicology Program at Fort Sam Houston, including computer-vision shelf analysis and workforce-data analysis. What this evidence does not show is a deep, remote-first consumer-AI employer base in San Antonio. Only about 10% of observed local openings were remote, and the sample itself was just more than 30 postings across more than 20 companies over 90 days.

• Consulting and contractor analytics (high): The clearest local employer cluster runs through firms such as Booz Allen, Tata Consultancy Services Limited, Ernst & Young LLP, and Vista Innovative Solutions, LLC, which favors candidates who can translate data work into client or mission outcomes.
• Finance, insurance, and risk analytics (moderate): USAA's presence makes this a strong lane for candidates who pair analytics with fraud, risk, controls, pricing, or operations experience.
• Retail, operations, and public-mission analytics (moderate): Local applied work with H-E-B and Army-affiliated programs suggests durable demand for inventory, geospatial, operations, and decision-support analytics even outside headline AI roles.
• Pure info-sector tech employers (limited): The local information sector is shrinking year over year, so candidates relying only on startup-style or media/platform employers have a narrower path.

Where to focus: Prioritize hybrid analytics roles embedded in consulting, finance-insurance, and mission operations, and treat pure remote AI-role searches as a side bet.

Roles worth searching next

• Market research analyst: It uses similar SQL, dashboarding, experimentation, and insight-writing habits, but sits closer to marketing and customer insights than core data-science hiring.
• Supply chain analyst: Local applied work around H-E-B shelf images, inventory insights, and store comparison suggests a practical route into analytics that lives inside operations rather than a central data team.
• Risk or fraud analyst: USAA and other business-facing employers make this a realistic path for candidates who can combine analytics with controls, fraud, underwriting, or claims logic.
• Program analyst or mission analyst: Booz Allen, Vista, and Army-linked local project work suggest a lane where decision support and operational analysis matter more than cutting-edge model research.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 65% of observed local postings, making it the baseline language for both analyst and data-science tracks. Who: Everyone in this category, especially entry-level and career-switching candidates.
• SQL (table_stakes | immediate): SQL shows up in about 60% of local postings, which means data access and query fluency still matter more than AI branding. Who: Everyone, but especially analyst, BI, and operations-facing applicants.
• Power BI and data visualization (differentiator | immediate): Power BI and data visualization each appear in about 25% of observed postings, which makes them a practical edge for roles closer to reporting, business decision support, and stakeholder storytelling. Who: Entry-level candidates, career switchers, and mid-career applicants targeting business-facing teams.
• Machine learning and statistical modeling (premium | near-term): Machine learning appears in about 40% of local postings and statistical modeling in about 20%, so advanced modeling is valuable but not universal across the whole category. Who: Mid-career candidates and specialists pursuing data scientist or ML-heavy roles.
• AWS and Snowflake (differentiator | near-term): AWS and Snowflake each appear in about 20% of observed postings, which signals demand for candidates who can work inside modern cloud data stacks rather than only notebook workflows. Who: Analysts moving upmarket and data scientists who need stronger production credibility.
• Cloud AI / ML certifications (differentiator | near-term): The most frequently cited certifications locally include AWS Certified Machine Learning Engineer - Associate, Databricks Machine Learning Associate, AWS Certified AI Practitioner, Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, and NVIDIA AI/Deep Learning certification, each at about 5% of observed postings. Who: Candidates whose experience is solid but whose resume needs a current-market signal.

Questions about this market

What do Data, Analytics & AI roles pay in San Antonio-New Braunfels, TX?

Observed government pay is solid but not elite. BLS puts San Antonio data scientists at a $103,290 median, with $78,000 at the 25th percentile and $134,360 at the 75th percentile in annual 2025 data. A narrower specialty, computer and information research scientists, shows a $94,220 median and $107,940 mean locally. By contrast, the current local posting sample centers on about $90k to $133k, and Revelio Public Labor Statistics shows mean offered pay on new Texas data, analytics & AI openings around $123,361 in September 2026 (n=3,863). San Antonio can support six-figure analytics careers, especially once you are past entry level, but the market usually prices below the national data scientist median of $120,230.

Where is demand for Data, Analytics & AI roles in San Antonio-New Braunfels, TX concentrated?

Real opportunity looks concentrated in business-facing analytics rather than pure product-tech teams. San Antonio's information sector was 16.8 thousand jobs in August 2026 and down 7.6923% year over year, while professional and business services reached 162.4 thousand and grew 4.7742%. In the local hiring sample, the most consistently active names were Tata Consultancy Services Limited, Vista Innovative Solutions, LLC, Booz Allen, USAA, and Ernst & Young LLP. That mix points to three practical lanes. First is consulting and contractor work, where employers need Python, SQL, BI, and client-facing problem solving that can move across projects. Second is finance, insurance, and risk-adjacent analytics, supported by USAA's presence and Texas's large financial activities base even though state financial employment was down slightly year over year. Third is applied analytics tied to operations, retail, and public missions: UT San Antonio highlighted local work with H-E-B and the U.S. Army Forensic Toxicology Program at Fort Sam Houston, including computer-vision shelf analysis and workforce-data analysis. What this evidence does not show is a deep, remote-first consumer-AI employer base in San Antonio. Only about 10% of observed local openings were remote, and the sample itself was just more than 30 postings across more than 20 companies over 90 days.

Which employers are hiring the most Data, Analytics & AI talent in San Antonio-New Braunfels, TX?

Recent postings show the most activity from Tata Consultancy Services Limited (5 postings), Vista Innovative Solutions, LLC (5 postings), Booz Allen (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in San Antonio-New Braunfels, TX be done remotely?

Of recent postings, 10% are remote and 50% hybrid, with 40% 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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