Data Analyst Jobs in Charlotte, NC

Observed government wage data points to strong pay but from anchor occupations rather than the whole category: Charlotte data scientists had a $132,460 median in 2025, with a $97,310 to $165,470 25th-75th range, while operations research analysts had a $102,630 median with a $90,580 to $137,790 25th-75th range. More current posting-based pay signals center on about $106k to $154k locally, and North Carolina's mean offered salary on new openings was ~$116,607 in September 2026 (n=1,394).

Full September 2026 market report

Advertised pay

Across the 75 openings that disclose pay, the advertised range midpoint runs $102,000 at the 25th percentile, $126,252 at the median and $150,400 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 129 openings.

Open all in AI Job Search

What our analysts see this month

Competitive market | next 3-6 months

Charlotte is a workable but selective market for Data, Analytics & AI right now. Metro unemployment was 3.7% in August 2026, Charlotte added 21,400 nonfarm payroll jobs year over year, and Professional and Business Services employment grew 3.5088%, which supports hiring inside enterprise analytics teams. But this is not an easy market: local openings skew senior and on-site, while North Carolina's Data, Analytics & AI employment was down 1.2% year over year even as postings rose 43.8%, a sign of active requisitions without blanket headcount expansion.

Best positioned: Your odds are best if you can show shipped analytics or applied AI work in financial services, consulting, or healthcare performance settings, using Python, SQL, BI tools, and production-minded AI practices.

Main caution: The biggest misconception is treating Charlotte like a broad entry-level AI boomtown; only about 15% of sampled openings are entry level, about 45% are senior, and only about 5% are remote.

From the September 2026 market report

Who is hiring here

Counted across all 129 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Trane: 6 open roles
2. Coforge Limited: 5 open roles
3. NTT DATA Group: 5 open roles
4. Trane Supply: 5 open roles
5. Trane Technologies: 5 open roles
6. Synechron: 4 open roles
7. Bank of America Corporation: 3 open roles
8. First American Financial Corporation: 3 open roles
9. LTM: 3 open roles
10. AI Technologies LLC: 2 open roles

Where the openings are

• Charlotte: 91
• Davidson: 15
• Fort Mill: 10
• Rock Hill: 3
• Concord: 2
• Mecklenburg County: 2
• Miami: 1
• South Park, Charlotte: 1

Work arrangement

hybrid 63 (50%), on-site 53 (42%), remote 10 (8%)

Where the demand is

Real demand is concentrated in enterprise analytics rather than consumer-tech-style startup hiring. In the local posting mix, financial services and IT services and IT consulting each account for about 20% of sampled openings, followed by software development and business consulting at about 15% each, and technology, information and internet at about 10%. The most consistently active named employers in the sample include Deloitte, Intuit, Inc., Bank of America Corporation, Synechron, IBM, Infosys Limited, and Tata Consultancy Services Limited. That mix matters because Charlotte's broader labor market is growing, but not every tech-adjacent sector is equally friendly. Professional and Business Services employment in the metro was up 3.5088% year over year in August 2026, while Information employment was down 6.2257%. Add Premier's September move to appoint a chief AI and analytics officer and launch an AI & Analytics Center of Excellence, and the clearer local openings are in enterprise modernization, decision support, governance, and production scaling—not just experimental AI labs. For job seekers, that means you should pitch yourself as someone who can improve revenue, risk, operations, or healthcare performance, not just 'do data.'

• Financial services analytics (high): Financial services accounts for about 20% of the sampled local mix, and Bank of America Corporation is one of the more consistently active named employers.
• Consulting and implementation (high): IT services and IT consulting make up about 20% of the mix, with Deloitte, Synechron, Infosys Limited, and Tata Consultancy Services Limited all showing up among active employers.
• Healthcare AI and performance improvement (moderate): Premier's new AI and analytics leadership structure and Center of Excellence point to demand for applied data and AI work in supply chain, clinical, operational, and financial workflows.
• Pure information-sector and remote-first roles (limited): This is the weaker pocket locally because Charlotte Information employment was down 6.2257% year over year, and only about 5% of sampled openings were remote.

Where to focus: Focus first on enterprise analytics roles inside banks, consulting firms, and healthcare-performance organizations where Python/SQL plus BI, governance, and GenAI workflow experience is easiest to prove.

Roles worth searching next

• FP&A Analyst: Charlotte's local demand is heavy in financial services and enterprise decision support, so finance-facing analysis is a realistic bridge for people with reporting, forecasting, or modeling experience.
• Business Operations Analyst: Local growth is stronger in Professional and Business Services than in Information, which favors operational analysis roles inside consulting and large business functions.
• Revenue Operations Analyst: The market is rewarding analysts who can translate data into commercial decisions, and RevOps uses many of the same dashboarding, workflow, and decision-support muscles.
• Healthcare Performance Improvement Analyst: Premier's AI-first healthcare push signals demand for data applied to clinical, operational, financial, and supply-chain workflows, which creates a practical side door for candidates with healthcare exposure.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of sampled local postings, making it the clearest baseline skill across analytics, data science, and AI-flavored roles. Who: Everyone in the category, especially entry-level and career-switching candidates.
• SQL (table_stakes | immediate): SQL shows up in about 50% of sampled local postings and is still the backbone for analytics work even as AI tools become more common. Who: Everyone except the most specialized research-only candidates.
• Tableau / Power BI (differentiator | immediate): Local demand still rewards people who can turn analysis into business-facing outputs: Tableau appears in about 25% of sampled postings and Power BI in about 20%. Who: Analysts, career switchers, and mid-career applicants targeting enterprise teams.
• Generative AI, LLMs, RAG, and prompt engineering (premium | immediate): Prompt engineering shows up in about 20% of sampled local postings, while generative AI and large language models each appear in about 15%; nationally, LLMs, RAG, and agentic workflows have moved into the core skill stack for higher-end data roles. Who: Mid-career analysts, data scientists, and anyone trying to move above commodity dashboard work.
• Analytics engineering / end-user-ready data modeling (differentiator | near-term): The market is putting more weight on modeling data for decision-makers, not just extracting it, and analytics engineering has become a clearer part of the 2026 toolkit. Who: BI analysts, senior analysts, and people moving toward analytics engineer or decision-science paths.
• Business framing, governance, and decision translation (premium | immediate): Charlotte's local AI discussion is centered on governance, operating models, and production scaling, and nationally the market is placing more value on problem framing and decision translation than on routine query-writing alone. Who: Mid-career candidates and career switchers with strong domain backgrounds.

Questions about this market

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

Observed government wage data points to strong pay but from anchor occupations rather than the whole category: Charlotte data scientists had a $132,460 median in 2025, with a $97,310 to $165,470 25th-75th range, while operations research analysts had a $102,630 median with a $90,580 to $137,790 25th-75th range. More current posting-based pay signals center on about $106k to $154k locally, and North Carolina's mean offered salary on new openings was ~$116,607 in September 2026 (n=1,394). The money is real, but Charlotte's better pay sits in narrower slices of the market than the category label suggests. Higher-paying seats tend to be tied to specialized data science, optimization, enterprise AI, or business-critical decision support rather than general reporting work.

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

Real demand is concentrated in enterprise analytics rather than consumer-tech-style startup hiring. In the local posting mix, financial services and IT services and IT consulting each account for about 20% of sampled openings, followed by software development and business consulting at about 15% each, and technology, information and internet at about 10%. The most consistently active named employers in the sample include Deloitte, Intuit, Inc., Bank of America Corporation, Synechron, IBM, Infosys Limited, and Tata Consultancy Services Limited. That mix matters because Charlotte's broader labor market is growing, but not every tech-adjacent sector is equally friendly. Professional and Business Services employment in the metro was up 3.5088% year over year in August 2026, while Information employment was down 6.2257%. Add Premier's September move to appoint a chief AI and analytics officer and launch an AI & Analytics Center of Excellence, and the clearer local openings are in enterprise modernization, decision support, governance, and production scaling—not just experimental AI labs. For job seekers, that means you should pitch yourself as someone who can improve revenue, risk, operations, or healthcare performance, not just 'do data.'

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

Recent postings show the most activity from Deloitte (10 postings), Intuit, Inc. (5 postings), Bank of America Corporation (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.

Explore related openings

Data, Analytics & AI jobs in other metros

• Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
• Atlanta-Sandy Springs-Roswell, GA
• New York-Newark-Jersey City, NY-NJ
• Indianapolis-Carmel-Greenwood, IN
• Austin-Round Rock-San Marcos, TX
• Columbus, OH
• Los Angeles-Long Beach-Anaheim, CA
• Seattle-Tacoma-Bellevue, WA

Other roles in Charlotte-Concord-Gastonia, NC-SC

• Legal, Compliance & Risk
• Finance & Accounting
• Operations, Supply Chain & Logistics
• Transportation & Delivery
• Engineering & Scientific
• Sales, Customer Success & Account Management
• Marketing, Communications & Content
• Software, IT & Cybersecurity

Browse all job openings | Browse jobs by title and state | Browse all job market reports