25+ Data & Analytics Jobs in Salt Lake City, UT

Observed local wage data is strongest for data scientists, not the whole category: BLS puts Salt Lake City-Murray at a $114,990 median, $117,140 mean, $81,260 at the 25th percentile, and $146,160 at the 75th percentile in 2025. Directional offered-pay evidence is lower: Revelio Public Labor Statistics shows a mean offered salary on new Utah openings of about $103,877 in September 2026 based on n=261, versus about $124,229 nationally based on n=44,364.

Full September 2026 market report

Advertised pay

Across the 26 openings that disclose pay, the advertised range midpoint runs $95,862 at the 25th percentile, $125,000 at the median and $145,438 at the 75th. These are advertised ranges, not earned pay.

Active openings as of October 17, 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 47 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Salt Lake City-Murray is still a viable market for Data, Analytics & AI, but it is not an easy one. Metro unemployment was 3.7% in August 2026, total nonfarm employment was up 2.4869% year-over-year, and professional and business services employment was up 4.3098%, which supports hiring for analytics roles tied to operations, finance, and service functions. At the same time, local information employment was down -6.6667% year-over-year, Utah-wide Data, Analytics & AI employment was down 2.1% year-over-year even as postings were up 13.6%, and the recent local posting mix leaned mid-career and senior.

Best positioned: The best odds right now go to mid-career candidates who can show SQL, Python, and dashboard or ML work tied to measurable business outcomes, especially in business services or finance-adjacent settings.

Main caution: Do not mistake strong salaries for easy access: the recent local sample showed more than 30 postings across more than 20 companies over 90 days, with about 0% remote and only about 20% entry-level roles.

From the September 2026 market report

Who is hiring here

Counted across all 47 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Bvteck: 4 open roles
2. UTN: 4 open roles
3. Thechrist: 3 open roles
4. WGU: 3 open roles
5. Blackrock Neurotech LLC: 2 open roles
6. Deloitte: 2 open roles
7. Pennant Group: 2 open roles
8. Snap Finance: 2 open roles
9. T.D. Williamson, Inc.: 2 open roles
10. The Church News: 2 open roles

Where the openings are

• Salt Lake City: 31
• Draper: 2
• Murray: 2
• Magna: 1
• Farmington: 1
• South Jordan: 1
• West Valley City: 1
• Eagle: 1

Work arrangement

on-site 23 (49%), hybrid 17 (36%), remote 7 (15%)

Where the demand is

Real opportunity is concentrated less in headline "AI engineer" branding and more in employers that need analytics inside operating businesses. Salt Lake City-Murray had 154.9 thousand jobs in professional and business services in August 2026, up 4.3098% year-over-year, and Utah financial activities employment was 102.4 thousand, up 1.5% year-over-year. Those are the environments where BI, forecasting, risk, customer analytics, and decision-support work usually lands. Pure information-sector tech is the weaker pocket right now. Local information employment was 22.4 thousand in August 2026, down -6.6667% year-over-year. That does not eliminate product analytics or ML roles, but it does mean fewer easy-entry seats and more competition when a strong brand-name opening appears. The recent local sample reinforces that selectivity. It showed more than 30 postings across more than 20 companies, led by UTN, SubcontractorHub, and Snap Finance, with about 50% of roles at mid level and about 35% at senior level.

• Professional services and operations analytics (high): Metro professional and business services employment was up 4.3098% year-over-year, and the local skill mix emphasized SQL, Python, Tableau, and Excel.
• Finance, lending, and risk-adjacent analytics (moderate): Utah financial activities employment was up 1.5% year-over-year, and Snap Finance appeared among the most consistently active named employers in the recent local sample.
• Pure tech-product and information-sector AI roles (limited): Local information employment was down -6.6667% year-over-year, and the recent local sample showed about 0% remote work.

Where to focus: Focus first on business-embedded analytics roles that use SQL, Python, and visualization to improve revenue, operations, lending, or customer decisions.

Roles worth searching next

• FP&A analyst: It uses forecasting, reporting, and business-partnering skills that overlap strongly with analytics work.
• Revenue operations analyst: It lets you use SQL, dashboarding, funnel analysis, and process metrics without needing to win a pure data-science title first.
• Market research analyst: It is a practical neighbor for candidates whose strengths are survey analysis, customer insight, segmentation, and storytelling rather than heavy modeling.
• Risk or fraud analyst: This path fits candidates who want analytical work in lending, compliance, or operations-heavy finance settings.
• Product operations analyst: It keeps you close to tech organizations while emphasizing instrumentation, reporting, experimentation, and cross-functional execution.

What postings ask for

• SQL (table_stakes | immediate): SQL appeared in about 65% of the recent local posting sample, making it the clearest baseline skill in this market. Who: Everyone, especially entry-level candidates who need a minimum credible toolkit.
• Python (table_stakes | immediate): Python showed up in about 60% of recent local postings and also appears in broader U.S. hiring guidance as an in-demand analytics skill. Who: All candidates, but especially analysts trying to move into higher-ceiling data science or automation work.
• Tableau / Power BI (differentiator | immediate): Tableau appeared in about 25% of the recent local sample, and national hiring guidance separately highlights Power BI as an in-demand analytics skill. Who: Entry-level applicants, career switchers, and mid-career analysts who need to prove business-facing output.
• Machine learning (premium | near-term): Machine learning appeared in about 20% of the recent local sample, and broader hiring guidance still flags machine learning and data science as in-demand specialties. Who: Mid-career analysts or data scientists who already have solid SQL and Python fundamentals.
• Databricks (premium | near-term): Databricks showed up in about 15% of the recent local sample, which suggests employers reward candidates who can work beyond desktop BI tools. Who: Candidates aiming at higher-complexity data science, platform-adjacent analytics, or larger-enterprise environments.
• Data visualization and Excel (table_stakes | immediate): Excel and data visualization each remained visible in the recent local skill mix, signaling that many employers still hire for decision support, reporting, and stakeholder communication rather than pure modeling alone. Who: Career switchers and analysts coming from business, finance, operations, or customer roles.

Questions about this market

What do Data, Analytics & AI roles pay in Salt Lake City-Murray, UT?

Observed local wage data is strongest for data scientists, not the whole category: BLS puts Salt Lake City-Murray at a $114,990 median, $117,140 mean, $81,260 at the 25th percentile, and $146,160 at the 75th percentile in 2025. Directional offered-pay evidence is lower: Revelio Public Labor Statistics shows a mean offered salary on new Utah openings of about $103,877 in September 2026 based on n=261, versus about $124,229 nationally based on n=44,364. This is a good-paying market, but not a pay leader on every measure. Local data scientist mean pay trails the national mean of $126,800, and the metro-wide computer and mathematical mean hourly wage of $53.93 was below the national $57.73 in May 2025.

Where is demand for Data, Analytics & AI roles in Salt Lake City-Murray, UT concentrated?

Real opportunity is concentrated less in headline "AI engineer" branding and more in employers that need analytics inside operating businesses. Salt Lake City-Murray had 154.9 thousand jobs in professional and business services in August 2026, up 4.3098% year-over-year, and Utah financial activities employment was 102.4 thousand, up 1.5% year-over-year. Those are the environments where BI, forecasting, risk, customer analytics, and decision-support work usually lands. Pure information-sector tech is the weaker pocket right now. Local information employment was 22.4 thousand in August 2026, down -6.6667% year-over-year. That does not eliminate product analytics or ML roles, but it does mean fewer easy-entry seats and more competition when a strong brand-name opening appears. The recent local sample reinforces that selectivity. It showed more than 30 postings across more than 20 companies, led by UTN, SubcontractorHub, and Snap Finance, with about 50% of roles at mid level and about 35% at senior level.

Which employers are hiring the most Data, Analytics & AI talent in Salt Lake City-Murray, UT?

Recent postings show the most activity from UTN (5 postings), SubcontractorHub (5 postings), Snap Finance (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Salt Lake City-Murray, UT be done remotely?

Of recent postings, 0% are remote and 35% hybrid, with 65% 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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