Job Description Business/ Data Analyst Charlotte, NC We are looking for a Business/Data Analyst with experience in stakeholder-facing requirements gathering, data quality, data governance, and data management initiatives…
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.
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Open data analyst roles
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and attracting expertise that differentiates us as a company as we continue to raise the bar. Job Summary The Financial Data Analyst, Strategic Analytics position is responsible for contract compliance and analysis of mo…
Job Title: Data Analyst Location: Onsite (Charlotte, NC / St. Louis, MO) ***Important: Candidates will be required to attend an in-person interview.*** Job Description Key Responsibilities Collaborate with business stake…
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Role Summary The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic busi…
Role- Power BI/ Tableau Data Analyst Location: Atlanta (preferred) or Charlotte- Junior resource preferred (3-4 days onsite) Client is looking for a junior-level ( 4 to 5 year of experience) resource based in Atlanta (pr…
owners, and stakeholders. Captures detailed requirements and creates high level design documentation, activity workflows, business data dictionaries and data mapping documents. Coordinates the collaboration between vario…
Job Title: Senior Business Data Analyst Capital Markets Work Location : Charlotte, NC 28203 Job Details Must Have Skills (Top 3 technical skills only) * Capital Market Domain SQL Business Analysis Nice to have skills (To…
Warehouse Data Analyst Req ID: 49564 Date: Jul 23, 2026 Location: Charlotte, NC, US, 28273 Brand: Capital Electric There’s a Place for You at Capital A career at Capital Electric is more than a job. You’re investing in a…
Our client, a data- driven organization, is seeking a Junior Data Analyst to join their team on a hybrid schedule out of their Charlotte, North Carolina office. In this role, you will collect, clean, and analyze data to…
Georgia, Virginia, Oklahoma, Tennessee and Maine. To learn more, please visit our website at . Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy in…
of Support, Marketing, and Equipment Services business teams. The environment values business partnership, curiosity around data, and analysts who can wear multiple hats. The team supports customer-facing and internal ap…
Job Description Job Description Summary The Supply Chain Data Analyst will play a critical role in driving data-informed decisions across the supply chain organization. This individual will be responsible for gathering,…
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.
What employers ask for
The skills these listings keep naming
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.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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