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Recent Grad Data Analyst Jobs in North Carolina (NOW HIRING)

Business Data Analyst

Charlotte, NC ยท On-site

$40 - $45/hr

Analyze financial, intake, and customer data to identify trends, provide insights, and support ... Recent Recognitions: * Named One of America's Best Employers for New Grads by Forbes (2024 * Named ...

Currently pursuing a degree (preferably master's or an advanced degree) or a recent graduate in Data Science, Business Analytics, Statistics, Engineering, or a related field. * Strong analytical and ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... Perform short circuit and thermal calculations as overseen by the Analytics group. * Apply the ...

Investigative Analyst

Greensboro, NC ยท On-site

$46K - $83K/yr

Description Turn Data Into Insight - Help Drive Smarter Investigations The City of Greensboro ... Reviewing recently submitted criminal investigative reports to identify relevant information and ...

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Recent Grad Data Analyst information

See North Carolina salary details

$30.9K

$75.1K

$123.6K

How much do recent grad data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for recent grad data analyst in North Carolina is $75,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 per year, depending on experience, location, and employer.

What does a recent grad data analyst do?

A Recent Grad Data Analyst is an entry-level professional who uses data to help organizations make informed decisions. They are responsible for collecting, cleaning, and interpreting data using tools like Excel, SQL, or Python. Their work often involves creating reports, identifying trends, and supporting more senior analysts or business units with actionable insights. This role is ideal for individuals who have recently completed a degree in fields like statistics, mathematics, computer science, or related disciplines.

What are the key skills and qualifications needed to thrive as a recent grad data analyst?

To thrive as a Recent Grad Data Analyst, you need a strong grasp of statistics, data manipulation, and analytical thinking, often supported by a relevant degree in mathematics, statistics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically expected. Strong attention to detail, problem-solving abilities, and clear communication help you interpret data and convey insights to stakeholders. These skills are essential for transforming raw data into actionable information that drives business decisions.

What are some common challenges recent graduates face when starting as data analysts, and how can they overcome them?

Recent graduates entering data analyst roles often encounter challenges such as adjusting to real-world datasets, which can be messy and incomplete compared to academic examples. They may also need to quickly learn company-specific tools or databases and adapt to collaborative workflows, including working with stakeholders from non-technical backgrounds. To overcome these challenges, new analysts should proactively seek mentorship, participate in team meetings to understand business objectives, and invest time in mastering both technical tools and effective communication. Embracing continuous learning and asking questions early can help accelerate their transition into a productive team member.

Are recent grad data analysts still in high demand?

Recent graduate data analysts are still in high demand as organizations increasingly rely on data-driven decision-making. Entry-level roles often require skills in SQL, Excel, and data visualization tools like Tableau or Power BI, with strong analytical and problem-solving abilities valued by employers.

How to be a recent graduate data analyst?

To become a recent graduate data analyst, obtain a relevant bachelor's degree such as in data science, statistics, or computer science. Develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, and gain experience through internships or projects to build a strong portfolio.

Is it still worth it to become a recent grad data analyst in 2026?

Recent graduate data analysts remain in demand as organizations increasingly rely on data-driven decision-making, and proficiency in tools like SQL, Python, or R enhances job prospects. Entry-level roles often require strong analytical skills, a solid understanding of statistics, and the ability to communicate insights effectively, making it a viable career choice in 2026.

What are popular job titles related to Recent Grad Data Analyst jobs in North Carolina?

For Recent Grad Data Analyst jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Recent Grad Data Analyst jobs in North Carolina look for?

The top searched job categories for Recent Grad Data Analyst jobs in North Carolina are:

Infographic showing various Recent Grad Data Analyst job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,103 per year, or $36.1 per hour.

Data Analyst/Python Programmer - Remote

SynergisticIT

Morrisville, NC โ€ข On-site

Other

Posted 28 days ago


Job description

Junior Data Scientist โ€” Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunitiesโ€” Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.