Overview We have a qualified Data Analyst needed. You will be a vital member of our data team as it grows helping to convert complex data into insights guiding important corporate decisions. Your knowledge and insight ar…
Data Analyst jobs in Raleigh, 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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A leading technology solutions company is seeking an Online Data Analyst to work on enhancing the quality of digital maps used worldwide. This part-time freelance role allows you to work from home at your own pace. Appli…
A leading digital data solutions firm is seeking an Online Data Analyst for a fully remote part-time position. Candidates must be proficient in Urdu and English and have a background in U.S. current and historical affair…
Spectraforce Technologies is seeking a Business Analyst for a 3-month engagement with remote work options. The role focuses on writing complex SQL, validating data, and reporting across Oracle/SAS/Teradata environments.…
Job Description Job Description We are seeking a highly skilled and experienced data analyst with proficiency in Microsoft Azure tools and Power BI to join our team. The data analyst will be responsible for analyzing lar…
availability and performance. Ensure stability and performance of data exchange systems and applications. Manage and coordinate... ...cross-functional teams including data architects, developers, analysts, and clinical s…
Data Quality Analyst Position Description The best version of us starts with You! We CGI is seeking to hire a meticulous Data Quality Analyst to drive enterprise data validation, reconciliation, and quality assurance for…
at the intersection of business strategy and technical execution, translating raw transactional and behavioral data into actionable insights. The analyst will collaborate closely with data engineering to structure analyt…
The Sr. Workday HRIS Reporting Analyst is responsible for the administration, maintenance, and optimization of the Workday Human Resources... ...and Workday Prism Analytics. This role involves ensuring data accuracy, sys…
Accentuate Staffing is currently recruiting for a Data Analyst within a Quality Improvement Department to collect, validate, analyze, and report on clinical and operational data to support accreditation programs, quality…
Accentuate Staffing is seeking a detail-oriented and analytical Marketing Analyst to support sales and marketing operations during a temporary assignment. This role will play a key part in analyzing business data, mainta…
life sciences industry. The Senior Migration Architect will lead customer migration implementations by providing expertise with data and document content migration, Vault API, Vault migration tools, and Vault Platform be…
What data analysts earn in Raleigh
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $54k–$79k |
| Mid level | $38–$50 | $79k–$104k |
| Senior | $48–$64 | $99k–$134k |
Adjusted for the Raleigh 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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