150+ Data & Analytics Jobs in Charlotte, NC

Official local pay data is uneven by title. BLS shows Charlotte workers overall averaged $69,000 a year in May 2025, while the metro's official data scientist median was $131,110 and local employment in that role was 4,040 in May 2024. Directional local pay trackers put Charlotte data-analyst pay around $80,000 to $108,200 on Levels.fyi and $90,704 to $139,537 on Randstad, while the local posting sample centers on about $110k to $150k across the broader Data, Analytics & AI category.

Full July 2026 market report

Advertised pay

Across the 104 openings that disclose pay, the advertised range midpoint runs $96,049 at the 25th percentile, $110,500 at the median and $135,650 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 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 187 openings.

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What our analysts see this month

Competitive market | next 3-6 months

Charlotte is a competitive but worthwhile market for Data, Analytics & AI over the next 3-6 months: metro unemployment was 3.6% in June 2026, metro nonfarm employment was up 1.5743% year over year, and professional and business services employment was up 1.8083% year over year. Occupation-specific demand is still present: Revelio Public Labor Statistics shows North Carolina Data, Analytics & AI postings up 27.9% year over year in July 2026, and the local sample captured more than 100 postings across more than 75 companies over the last 90 days. But it is not an easy market: only about 10% of sampled postings were entry-level, about 55% were mid-level, and only about 5% were remote.

Best positioned: Mid-career candidates who can show Python, SQL, and business-facing AI work in banking, consulting, or healthcare have the best odds, because local postings most often ask for python, sql, and generative AI, and the active industry mix leans technology, financial services, consulting, and banking.

Main caution: The biggest trap is assuming Charlotte is a remote-first entry market; the sampled mix was about 55% on-site, about 40% hybrid, and only about 5% remote, with entry roles only about 10% of the sample.

From the July 2026 market report

Who is hiring here

Counted across all 187 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Tata Consultancy Services Limited: 9 open roles
2. NTT DATA Group: 7 open roles
3. First Citizens: 6 open roles
4. Bank of America Corporation: 5 open roles
5. Infosys: 5 open roles
6. Wells Fargo: 5 open roles
7. Wells Fargo & Company: 5 open roles
8. American Express: 4 open roles
9. CONA Services LLC: 4 open roles
10. LPL Financial: 4 open roles

Where the openings are

• Charlotte: 164
• Fort Mill: 6
• Concord: 4
• Huntersville: 4
• Davidson: 2
• Mecklenburg County: 2
• Monroe: 1
• New York: 1

Work arrangement

on-site 97 (52%), hybrid 71 (38%), remote 19 (10%)

Where the demand is

Real opportunity is concentrated less in one dominant employer than in a few employer types. The local sample is fragmented across employers, about 40% of postings come from enterprise employers, and the industry mix leans technology (about 30%), financial services (about 20%), IT services and IT consulting (about 15%), professional services and consulting (about 10%), and banking and lending (about 10%). The most consistently active names in the sample include Deloitte, Synechron, First Citizens, Infosys, Collabera, Matricstek Inc, Kpmg Us, and Infosys Limited. That makes Charlotte a better market for business-facing analytics than for lab-style AI roles. Charlotte-relevant listings included USAA audit analytics and innovation analyst openings plus an Advocate Health data analyst role, and local boards are also surfacing supply-chain data analyst and data scientist openings. The market is rewarding people who can apply data work inside finance, healthcare, and operations workflows, not just build models in isolation.

• Financial services and banking analytics (high): Financial services accounts for about 20% of the local posting mix and banking and lending about 10%, and Charlotte-relevant listings included USAA audit analytics openings.
• Consulting and enterprise transformation (high): About 40% of sampled postings come from enterprise employers, and active names include Deloitte, Synechron, Infosys, Collabera, and Kpmg Us.
• Healthcare operations analytics (moderate): Advocate Health had a Charlotte-relevant data analyst opening, which is a good sign for analysts who can work on operational reporting, access, quality, or cost problems in healthcare settings.
• Supply chain and operations analytics (moderate): Charlotte boards continue to surface supply-chain data analyst and data scientist openings, showing that operations and logistics use cases are still part of the local demand picture.

Where to focus: Aim first at banks, large consultancies, and enterprise operations teams where Charlotte's demand is deepest and where business context is valued alongside technical skill.

Roles worth searching next

• Data Engineer: Charlotte employers are advertising mid-level data engineer or analyst roles that call for ETL or ELT pipelines, data models, semantic layers, and BI outputs, so this is a realistic nearby path for technical analysts.
• Supply Chain Analyst: Local boards are still surfacing supply-chain data analyst and data scientist openings, which signals a practical bridge into operations-focused analytics work.
• Audit or Risk Analyst: USAA had Charlotte-relevant audit analytics and innovation analyst openings, showing a real bridge between data work and finance-control roles.
• Healthcare Operations Analyst: Advocate Health had a Charlotte-relevant data analyst opening, which points to crossover demand in care operations and reporting-heavy health systems work.

What postings ask for

• Python (table_stakes | immediate): Python shows up in about 70% of sampled Charlotte postings, making it the clearest screening skill across analyst, data science, and AI-flavored roles. Who: Everyone in the market, especially entry-level candidates who need a strong baseline signal.
• SQL (table_stakes | immediate): SQL appears in about 40% of sampled Charlotte postings, and Charlotte had 207 live SQL jobs with 107 added in the past week, so it remains the cross-role common language for getting screened in. Who: Everyone, but especially career switchers and analysts coming from Excel-heavy backgrounds.
• Generative AI and prompt engineering (differentiator | immediate): Generative AI appears in about 20% of sampled local postings and prompt engineering in about 15%, while national guidance treats AI tools and prompt engineering as essential 2026 analyst skills. Who: Mid-career candidates and career switchers who want to show current-tool fluency without overclaiming full AI-engineer depth.
• Business communication and AI validation (differentiator | near-term): National guidance says the role is shifting from query builder to strategic advisor, with more value in framing questions, communicating insights, and validating AI outputs, while governance is becoming the control layer for scaled AI use. Who: Mid-career professionals and domain experts trying to separate themselves from tool-only applicants.
• AWS and cloud analytics (differentiator | near-term): AWS appears in about 20% of sampled local postings, while AWS-certified credentials are explicitly required in less than 5%, which suggests employers care more about working cloud skill than checkbox certification. Who: Candidates targeting enterprise data science, AI, or cloud-hosted analytics environments.
• dbt, semantic layers, and ELT thinking (premium | near-term): Charlotte employers are advertising mid-level data engineer or analyst roles that ask for ETL or ELT pipelines, data models, semantic layers, and BI outputs, and national pay guides place analytics engineering above BI-heavy work. Who: Mid-career analysts who want to move upmarket without fully switching into platform engineering.

Questions about this market

What do Data, Analytics & AI roles pay in Charlotte-Concord-Gastonia, NC-SC?

Official local pay data is uneven by title. BLS shows Charlotte workers overall averaged $69,000 a year in May 2025, while the metro's official data scientist median was $131,110 and local employment in that role was 4,040 in May 2024. Directional local pay trackers put Charlotte data-analyst pay around $80,000 to $108,200 on Levels.fyi and $90,704 to $139,537 on Randstad, while the local posting sample centers on about $110k to $150k across the broader Data, Analytics & AI category. This is a solid-paying market relative to the local baseline: Revelio Public Labor Statistics shows mean offered salary on new North Carolina Data, Analytics & AI openings at ~$116,501 (n=2,069), versus ~$79,561 across all new openings statewide. In practice, Charlotte pays best when the role is technical, business-critical, or tied to enterprise transformation rather than basic reporting.

Where is demand for Data, Analytics & AI roles in Charlotte-Concord-Gastonia, NC-SC concentrated?

Real opportunity is concentrated less in one dominant employer than in a few employer types. The local sample is fragmented across employers, about 40% of postings come from enterprise employers, and the industry mix leans technology (about 30%), financial services (about 20%), IT services and IT consulting (about 15%), professional services and consulting (about 10%), and banking and lending (about 10%). The most consistently active names in the sample include Deloitte, Synechron, First Citizens, Infosys, Collabera, Matricstek Inc, Kpmg Us, and Infosys Limited. That makes Charlotte a better market for business-facing analytics than for lab-style AI roles. Charlotte-relevant listings included USAA audit analytics and innovation analyst openings plus an Advocate Health data analyst role, and local boards are also surfacing supply-chain data analyst and data scientist openings. The market is rewarding people who can apply data work inside finance, healthcare, and operations workflows, not just build models in isolation.

Which employers are hiring the most Data, Analytics & AI talent in Charlotte-Concord-Gastonia, NC-SC?

Recent postings show the most activity from Deloitte (5 postings), Synechron (5 postings), First Citizens (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Charlotte-Concord-Gastonia, NC-SC be done remotely?

Of recent postings, 5% are remote and 40% hybrid, with 55% 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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