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Entry Level Data Analyst Jobs in Spring Lake, NC

SPECTRUM

Entry Level Sales

Fayetteville, NC · On-site

$27K/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

Walmart

(USA) Realty Project Coach

Hope Mills, NC · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

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Entry Level Data Analyst information

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$12

$32

$60

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

As of Sep 9, 2026, the average hourly pay for entry level data analyst in Spring Lake, NC is $32.15, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $35.91 per hour, depending on experience, location, and employer.

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 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.

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.

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.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Spring Lake, NC?

The most popular types of Data Analyst jobs in Spring Lake, NC are:

What cities near Spring Lake, NC are hiring for Entry Level Data Analyst jobs?

Cities near Spring Lake, 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 Spring Lake, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $66,878 per year, or $32.2 per hour.

Entry Level Mechanical Engineer

Sanford, NC • On-site

Tata Technologies
IT Services • 5 - 10K employees
Learn more about Tata Technologiesexternal

Other

Posted 5 days ago

Job description

Entry Level Mechanical Engineer

Sanford, NC


Job Description:

Education & Experience Required:

  • Years of experience: 0-2 years
  • Degree requirement: Bachelor's degree in engineering required.
  • Do you accept internships as job experience: Yes

Top 3 Skills

(Required)

  • Mechanical engineering fundamentals with ability to read drawings, technical documentation, and equipment specifications.
  • Knowledge of manufacturing equipment and processes
  • Strong analytical, problem solving, written communication, and cross functional collaboration skills.

Additional Technical Skills

(Desired)

  • Experience in root cause investigation, issue resolution, data analysis, documentation and cross functional team collaboration
  • Ability to support assembly and manufacturing processes, including torque tool applications, lifting processes, time studies, line balancing, capacity analysis, and standard work development.
  • Experience with Creo, AutoCAD, and Geneo
  • Ability to analyze manufacturing processes, identify improvement opportunities, and implement sustainable process and equipment solutions to support safety, quality, delivery, and cost objectives -or- working knowledge of automated test systems, fluid handling and fill equipment, refrigerant and A/C charging processes, production equipment controls and interfaces, and Manufacturing Execution Systems (MES).

Soft Skills

  • Detail oriented, proactive, organized, safety minded, and comfortable working with production teams in a hands-on manufacturing environment


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