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Entry Level Data Analyst Jobs in Easley, SC (NOW HIRING)

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

***This posting is to enter our campus recruiting and entry-level process for position offers being ... Business Analysts apply their data analytics and business acumen to support data-driven business ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

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Through advanced analytics and technology, we can more accurately predict credit risk and provide ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

New

This entry-level role offers a strong foundation for a career in finance, accounting, and ... Strong data entry and administrative skills. * Basic proficiency with Microsoft Office and other ...

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Entry Level Data Analyst information

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$57

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

As of Aug 29, 2026, the average hourly pay for entry level data analyst in Easley, SC is $30.90, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $34.52 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 Easley, SC?

The most popular types of Data Analyst jobs in Easley, SC are:

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

The top searched job categories for Entry Level Data Analyst jobs in Easley, SC are:

What cities near Easley, SC are hiring for Entry Level Data Analyst jobs?

Cities near Easley, SC with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Easley, SC as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,266 per year, or $30.9 per hour.

Data Analyst

Duncan, SC • On-site

Full-time

Posted 4 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.