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Data Analyst Recent Grads Preferred
Career Insights for Data Analyst
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Based on North Carolina data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$89,447 / year median in North Carolina
+15% projected growth
Job Description
Title:
Data Analyst -Recent Grads Preferred Location:
100% onsite in Wilmington, NC. 8am - 5pm,M-F Duration:
6 months, with potential to extendPay Rate:
$34/Hr on W2 all incl Summary This contract role supports a technical organization with digital tools, data quality, reporting, process improvement, and the practical use of artificial intelligence. You will help build and maintain internal tools, clean and organize data, support dashboards and reporting workflows, and improve how technical projects are structured and managed - freeing project teams to focus on strategic technical work. This is a technical role focused on building and maintaining technical tools and data structures based on established specifications. Key Responsibilities- Maintain digital tools, dashboards, and project-related data.
- Prepare and clean data for reporting, analytics, and AI tools.
- Support process improvements that reduce manual work for project and technical leaders.
- Assist with testing, rollout, and troubleshooting of reporting and automation features.
- Support custom in-house applications and BI reporting, including data upkeep, development, and deployment. Ideal Background
- B.S. in a Technical Discipline preferred (Engineering, IS, CS, Data Analytics, etc.)
- Excellent role for a recent graduate or early-career professional in data analytics, Information Systems, industrial/systems engineering, operations research, computer science, or business analytics.
- Comfort working with datasets, dashboards, BI/reporting tools, and structured workflows.
- Interest in applying AI to business or technical workflows; exposure to Python, SQL, or Power BI is a plus.
- Strong attention to detail and a willingness to maintain accurate data over time.