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Entry Level Data & Analytics Jobs in Greenville, SC

Recruit Monitor

Data Analyst

Duncan, SC

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC · On-site

$99K - $232K/yr

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 Analytics information

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$31K

$76.7K

$131.6K

How much do entry level data & analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level data & analytics in Greenville, SC is $76,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $90,700.00 per year, depending on experience, location, and employer.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience; instead, they focus on foundational skills such as Excel, SQL, or basic data visualization tools. Candidates can improve their chances by completing relevant online courses, certifications, or projects to demonstrate their ability to work with data.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or R. Gaining proficiency with tools such as Excel, SQL, and data visualization software, along with obtaining relevant certifications or a degree in a related field, can improve job prospects. Entry-level roles often require a strong foundation in data concepts and the ability to interpret and communicate insights effectively.

What are some entry level data & analytics roles?

Entry level data and analytics roles include positions such as Data Analyst, Business Analyst, Data Technician, and Junior Data Scientist. These roles typically require skills in Excel, SQL, and basic statistical tools, and often serve as starting points for careers in data analysis and data management.

What are the most commonly searched types of Data & Analytics jobs in Greenville, SC?

The most popular types of Data & Analytics jobs in Greenville, SC are:

What are popular job titles related to Entry Level Data & Analytics jobs in Greenville, SC?

For Entry Level Data & Analytics jobs in Greenville, SC, the most frequently searched job titles are:

What job categories do people searching Entry Level Data & Analytics jobs in Greenville, SC look for?

The top searched job categories for Entry Level Data & Analytics jobs in Greenville, SC are:

What cities near Greenville, SC are hiring for Entry Level Data & Analytics jobs?

Cities near Greenville, SC with the most Entry Level Data & Analytics job openings:

Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $76,651 per year, or $36.9 per hour.

Data Analyst

Recruit Monitor

Duncan, SC

Full-time

Posted 13 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .

Job Details
Requisition Number: 149890
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: Production Enhancement
Full Time / Part Time: Full Time

Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.

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