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

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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

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

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Entry Level Data Analyst information

See Graham, NC salary details

$10

$26

$49

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

As of Sep 1, 2026, the average hourly pay for entry level data analyst in Graham, NC is $26.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $29.57 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.

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

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

What job categories do people searching Entry Level Data Analyst jobs in Graham, NC look for?

The top searched job categories for Entry Level Data Analyst jobs in Graham, NC are:

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

Cities near Graham, NC with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Graham, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,044 per year, or $26.5 per hour.

Entry level Data Scientist: Systems Assurance Data Analytics - 2027

IBM

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

124th of 247 rated software companies


Job description

Introduction
We are seeking a motivated and talented recent college graduate with a foundation in business data analytics to join our team. This position offers hands-on experience in data science, and systems quality assurance within a collaborative and agile environment. The successful candidate will be responsible for owning critical programs and discovering ways to introduce AI technologies to gain efficiencies and better client quality.
Your role and responsibilities
As a Systems Assurance Data Scientist, you'll contribute to assuring the quality, availability and reliability of IBM's industry-leading Server technologies. Responsibilities such as but not limited to:
  • Data analytics for:
  • IBM Server Systems client impacting field event analysis (repairs, outages).
  • System Telemetry data (diagnostics data)
  • Client-specific analysis.
  • Data visualization for stakeholders (Development, Test, Manufacturing, Client Support... teams) for monitoring, early warning, corrective actions...
  • Quality Metrics calculation and validation.
  • Provide analytics for surgical field corrective actions.
  • Document and drive to closure issues impacting Server Systems quality
  • Provide all applicable data analytics to prioritize higher impact (at client) and pervasive events
  • Track the application of fixes in the Field
  • Manage Quality Targets for all current Servers, subsystems, and parts.

Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Experience or coursework in software development, design, or testing
  • Strong interpersonal and communication skills
  • Ability to work effectively in a dynamic, agile team environment
  • Self-motivated with a growth mindset and eagerness to learn
  • Leadership potential and ability to take ownership of tasks
  • Exposure to AI coding assistants (e.g., Watsonx Code Assistant)
  • Knowledge of basic statistics and data modeling concepts
  • Ability to learn and deploy dashboard & visual charts using approved software.

Preferred technical and professional experience
  • Computer Science Knowledge: Exposure to computer science concepts and applications to analyze business issues and develop analytics solutions.
  • Math Foundation: Experience working with mathematical techniques to drive business insights and inform decision-making.
  • Operations Research Understanding: Exposure to operations research principles to optimize business processes and solve complex problems.

ABOUT BUSINESS UNIT
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

What IBM employees say

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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