150+ Data & Analytics Jobs in Charlotte, NC

The strongest hard local anchor is older government data: Charlotte had 4,040 Data Scientists in May 2024, and the mean annual wage for Data Scientists was $130,250 in the May 2023 OEWS release. More current directional signals are mixed but useful: local posted salary ranges center on about $100k to $154k, Handshake shows a typical data scientist median of $85,000 with most pay between $60,000 and $105,000, and CvCraft estimates a $110,180 median with a $69,136 to $187,772 spread.

Full August 2026 market report

Advertised pay

Across the 113 openings that disclose pay, the advertised range midpoint runs $96,262 at the 25th percentile, $119,058 at the median and $145,600 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 25, 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 175 openings.

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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 July 2026, total nonfarm employment was up 1.5743% year over year in June, and Professional and Business Services employment was up 1.8083% year over year. For the occupation itself, Revelio Public Labor Statistics shows North Carolina data, analytics & AI employment down 0.8% year over year in August 2026 even as active postings rose 38.7%, which points to targeted hiring rather than a broad, easy boom. In the local job sample, we observed more than 100 postings across more than 50 companies over the last 90 days, but only about 20% were entry-level while about 50% were mid, about 30% senior, and about 5% lead+ roles.

Best positioned: You have the best odds if you already bring Python, SQL, machine learning, and GenAI workflow skills, can show business-facing judgment, and are open to on-site or hybrid roles rather than a remote-only search.

Main caution: The biggest trap is assuming all "AI" roles pay elite salaries or support broad flexibility; only about 10% of sampled roles were remote, about 0% of postings that stated a policy mentioned visa sponsorship, and local pay signals range from $60,000–$105,000 to about $100k to $154k depending on sub-role and seniority.

From the August 2026 market report

Who is hiring here

Counted across all 175 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Tata Consultancy Services Limited: 11 open roles
2. Bank of America Corporation: 7 open roles
3. Deloitte: 6 open roles
4. American Express: 5 open roles
5. Collins Aerospace: 5 open roles
6. NTT DATA Group: 5 open roles
7. Infosys: 4 open roles
8. Intuit, Inc.: 4 open roles
9. Lowe's: 4 open roles
10. First Citizens: 3 open roles

Where the openings are

• Charlotte: 150
• Fort Mill: 11
• Davidson: 5
• Concord: 4
• Harrisburg: 1
• Newark: 1
• Mecklenburg County: 1
• Monroe: 1

Work arrangement

on-site 85 (49%), hybrid 74 (43%), remote 15 (9%)

Where the demand is

Real opportunity is concentrated less in pure research-style AI teams and more in business-side analytics seats. In the local sample, the most-active industries were IT services and IT consulting and financial services at about 20% each, followed by technology and IT support/services at about 15% each, and named employer activity included Infosys, Infosys Limited, Bank of America Corporation, and Synechron; hiring was fragmented rather than dominated by one firm. The skill mix also points to applied work over generic reporting. Most-requested skills included Python, SQL, prompt engineering, machine learning, LangChain, generative AI, Kubernetes, and LangGraph, and a recent Charlotte Data Scientist III opening emphasized time-series forecasting and first-party data integration. That combination points to openings around forecasting, customer analytics, AI-assisted workflows, and model-enabled business operations more than open-ended research work.

• Financial services and consulting analytics (high): This is the clearest local pool of opportunity because financial services and IT services/consulting each account for about 20% of sampled demand, with visible activity from Infosys, Infosys Limited, Bank of America Corporation, and Synechron.
• Applied AI, forecasting, and customer data work (moderate): A recent Charlotte Data Scientist III opening focused on time-series forecasting and first-party data integration, while the broader local stack includes machine learning, generative AI, LangChain, and LangGraph.
• Remote-only or sponsorship-dependent search (limited): This is the toughest segment locally because only about 10% of sampled roles were remote and about 0% of postings that stated a policy mentioned visa sponsorship.

Where to focus: Focus first on hybrid or on-site applied analytics roles inside banks, consulting firms, and enterprise operations teams where Python, SQL, and business translation all show up together.

Roles worth searching next

• Business Analyst: AI is automating more of the query and dashboard work, which increases the value of professionals who can frame problems, gather requirements, and turn findings into decisions.
• FP&A or Financial Analyst: Financial services account for about 20% of sampled local demand, so finance-side analysis is a practical bridge in Charlotte.
• Fraud Analyst or Risk Analyst: Charlotte's financial-services concentration and the local demand for Python and SQL map well to fraud and risk workflows.
• Marketing Analytics or CRM Analyst: A recent Charlotte role emphasized time-series forecasting and first-party data integration, which closely matches customer and campaign measurement work.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 65% of sampled postings, making it the clearest baseline language for local analytics and AI work. Who: Everyone in the category, especially entry-level candidates who need to clear basic screens.
• SQL (table_stakes | immediate): SQL shows up in about 45% of sampled postings, and AI is automating more query drafting and dashboard work, which raises the bar from syntax alone to knowing what to ask and how to validate results. Who: Everyone, including career switchers trying to prove practical data fluency.
• Prompt engineering and AI literacy (differentiator | immediate): Prompt engineering appears in about 30% of local postings, and broader 2026 employer signals show AI literacy and prompt engineering among the most sought-after AI skills. Who: Analysts and switchers who need to show they can work with AI tools rather than compete against them.
• Machine learning (differentiator | near-term): Machine learning appears in about 30% of local postings and is a key bridge from analyst work into higher-paid data science and applied AI tracks. Who: Mid-career analysts aiming to move up-market.
• LangChain and LangGraph (premium | immediate): LangChain appears in about 30% of sampled postings and LangGraph in about 20%, which is unusually specific evidence that employers want people who can build AI workflows, not just talk about GenAI. Who: Data scientists and AI-focused candidates targeting applied GenAI work.
• Time-series forecasting and first-party data integration (premium | near-term): A recent Charlotte Data Scientist III opening centered on forecasting advertising viewership and integrating first-party data, a strong local sign that advanced measurement and prediction work pays a premium. Who: Mid-career candidates who already have Python and modeling basics.

Questions about this market

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

The strongest hard local anchor is older government data: Charlotte had 4,040 Data Scientists in May 2024, and the mean annual wage for Data Scientists was $130,250 in the May 2023 OEWS release. More current directional signals are mixed but useful: local posted salary ranges center on about $100k to $154k, Handshake shows a typical data scientist median of $85,000 with most pay between $60,000 and $105,000, and CvCraft estimates a $110,180 median with a $69,136 to $187,772 spread. Even with that spread, Charlotte still looks like a good value market because the metro's cost-of-living index is 97.3, or 2.7% below the national average.

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

Real opportunity is concentrated less in pure research-style AI teams and more in business-side analytics seats. In the local sample, the most-active industries were IT services and IT consulting and financial services at about 20% each, followed by technology and IT support/services at about 15% each, and named employer activity included Infosys, Infosys Limited, Bank of America Corporation, and Synechron; hiring was fragmented rather than dominated by one firm. The skill mix also points to applied work over generic reporting. Most-requested skills included Python, SQL, prompt engineering, machine learning, LangChain, generative AI, Kubernetes, and LangGraph, and a recent Charlotte Data Scientist III opening emphasized time-series forecasting and first-party data integration. That combination points to openings around forecasting, customer analytics, AI-assisted workflows, and model-enabled business operations more than open-ended research work.

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

Recent postings show the most activity from Infosys (10 postings), Infosys Limited (10 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, 10% are remote and 35% hybrid, with 50% 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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