$60k - $80k
Salary: $60,000 - 80,000 per year Requirements: We require candidates pursuing a bachelors or masters degree with a focus in data and analytics, statistics, mathematics, computer science, or a related technical disciplin…
Engineering & IT · Charlotte, NC
Data Analyst jobs in Charlotte, NC
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
391
Open roles today
$26–$63/hr
Typical pay range
$91k
Median, full-time
10
Fresh in this list
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01
Open data analyst roles
12 shown of 391 · sorted by freshness
$120k - $160k
experience influencing stakeholders and guiding decisions with data. We value strong communication and stakeholder management skills... ...mentor others in effective storytelling. We mentor and coach analysts across the…
$98.18k - $115.5k
of your career. Try new things, learn new skills and discover what you excel at—all from Day One.Job DescriptionAn experienced Data Analyst who works independently and is passionate about knowledge sharing, problem solvi…
$120k - $160k
clear analyses, visualizations, and presentations that turn complex data into practical insights for business partners and senior leaders... ...techniques, and we review or validate methods used by other analysts. We mai…
Job-ID29295404Reference26-25733In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Quality Assurance. Review and analyze complex multi-fa…
is seeking a Software Engineering Senior Manager - Quantitative Data & Analytics to lead a team of engineering professionals supporting... ...business ontology, and context library that gives AI tools and analysts a trus…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
Job-ID28039876Reference26-10884 Senior Enterprise Search Business & Data Analyst (Contractor) Senior‐level individual contributor contractor Business‐facing, delivery‐oriented, governance‐critical role • Senior contracto…
critical power and infrastructure services supporting a distributed field workforce across the U.S.The organization is early in its AI and data- automation journey, but leadership is focused on practical use cases with d…
$114.08k - $218.03k
consistent with applicable policy and business needs.The OpportunityUSAA is looking for an experienced Decision Science Analyst Senior to join the Life Company Data and Analytics team. USAA Life Company is looking to bui…
$100.26k - $137.86k
applications, infrastructure, and project services in a cost efficient manner to Corning worldwide. Role Purpose The Data Quality Analyst helps ensure enterprise data is accurate, consistent, and reliable. This role part…
$50 - $52 per hour
We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, P…
02
What data analysts earn in Charlotte
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $54k–$78k |
| Mid level | $38–$50 | $78k–$103k |
| Senior | $47–$63 | $98k–$132k |
Adjusted for the Charlotte market from national ranges.
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What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
05
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
01
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
02
List SQL first and honestly grade your level; it is the single most tested skill for this role.
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Name the BI tools you have shipped dashboards in, and how many people relied on them.
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Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
05
A small portfolio of public analyses with clear write-ups can offset limited job experience.
06
Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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