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

SPECTRUM

Entry Level Sales

Cary, NC

$100K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Sageworks

Cybersecurity Operator

Raleigh, NC · On-site +1

This role serves as a frontline defender, analyzing alerts from SIEM, EDR, and email security ... Endpoint security and data protection * Network fundamentals (TCP/IP, DNS, HTTP/S) * Strong ...

Abrigo

Cybersecurity Operator

Raleigh, NC · On-site +1

This role serves as a frontline defender, analyzing alerts from SIEM, EDR, and email security ... Endpoint security and data protection * Network fundamentals (TCP/IP, DNS, HTTP/S) * Strong ...

Abrigo

Cybersecurity Operator

Raleigh, NC · On-site

This role serves as a frontline defender, analyzing alerts from SIEM, EDR, and email security ... Endpoint security and data protection * Network fundamentals (TCP/IP, DNS, HTTP/S) * Strong ...

Abrigo

Cybersecurity Operator

Raleigh, NC · On-site +1

This role serves as a frontline defender, analyzing alerts from SIEM, EDR, and email security ... Endpoint security and data protection * Network fundamentals (TCP/IP, DNS, HTTP/S) * Strong ...

TekWissen LLC

Supply Management Specialist

Cary, NC · On-site

Provides entry level sourcing, Enterprise Product Delivery Process (EPDP), Enterprise Order ... Collate and analyze data using preset tools, methods, and formats. Involves working independently.

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All JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Raleigh, NC

Entry Level Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

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

As of Jul 2, 2026, the average hourly pay for entry level data analyst 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Raleigh, NC? The most popular types of Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Data Analyst jobs in Raleigh, NC? For Entry Level Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Entry Level Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Data Analyst jobs? Cities near Raleigh, NC with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $66,571 per year, or $32 per hour.
Engineer Product (Safety Compliance & Standards)

Engineer Product (Safety Compliance & Standards)

Three Point Solutions

Fuquay Varina, NC

Contractor

Posted 7 days ago

Be an early applicant

Job description

Title: Engineer Product (Safety Compliance & Standards)
Client: Heavy Machine Manufacturing Company
Location: Fuquay-Varina, NC 27526
Duration: 2 Years (Possible Extension)
Shift: 1st Shift (Core Hours: 8:00 AM – 4:00 PM)

Key Responsibilities
• Gather data from test labs, engineering teams, and stakeholders to support product safety and compliance activities
• Prepare compliance documentation for commercial mowing, golf, and utility equipment products
• Create and maintain test activity records and technical documentation
• Coordinate with third-party organizations regarding market entry and regulatory requirements
• Support product design, testing, validation, and engineering analysis activities
• Participate in design reviews and contribute to engineering solutions
• Review engineering standards, specifications, and compliance requirements
• Support inspections, audits, and regulatory conformance activities
• Manage multiple projects and track progress toward compliance objectives
• Collaborate with cross-functional teams to ensure seamless project execution

Required Skills
• Strong verbal and written communication skills
• Ability to manage multiple projects simultaneously
• Ability to review, understand, and explain technical standards and regulations
• Project coordination and risk management skills
• Technical documentation and reporting experience
• Data analysis and trend reporting skills
• Team collaboration and stakeholder management

Preferred Skills
• Knowledge of mobile off-road machinery and equipment
• Familiarity with EN, IEC, ISO, SAE, and UL standards
• Product safety and compliance experience
• Regulatory and certification knowledge
• Engineering testing and validation experience
• Change management and continuous improvement experience

Education
• Bachelor's or Master's Degree in:

  • Electrical Engineering
  • Mechanical Engineering
  • Agricultural Engineering
  • Related Engineering Discipline

Experience
• Entry-level to early-career engineering candidates considered
• Experience with product testing, compliance, standards, or regulatory projects is preferred
• Strong project coordination and technical communication skills required

#ZR

Company Description

As a leading contract, contract-to-hire and professional placement firm, Three Point Solution understands the importance of aligning our client with the right resource at the right time. We are committed to the highest caliber of service that will benefit our clients, candidates and employees. Unlike large, corporate style recruiting firms, we commit to individualized attention that uniquely positions us to bridge the communication gap between recruiter, employer and candidate. Our goal is to cultivate and maintain true partnerships with our clients and candidates.