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Entry Level Data Analysis Jobs in Raleigh, NC (NOW HIRING)

SynergisticIT

Entry Level C++ Developer

Raleigh, NC · On-site

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Python/R Programmer - Entry

Durham, NC · On-site

For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong ... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Raleigh, NC

Entry Level Data Analysis information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level data analysis jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for entry level data analysis in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Raleigh, NC? The most popular types of Data Analysis jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Data Analysis jobs in Raleigh, NC? For Entry Level Data Analysis jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Raleigh, NC look for? The top searched job categories for Entry Level Data Analysis jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Data Analysis jobs? Cities near Raleigh, NC with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Raleigh, NC as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $66,575 per year, or $32 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 4 days ago

Job description

Junior Data Scientist — 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 check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ 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/ 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 opportunities— 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.

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