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Entry Level Data Analysis Jobs in Duncan, SC (NOW HIRING)

Recruit Monitor

Data Analyst

Duncan, SC ยท On-site

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC ยท 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 ...

Global-Lending-Services

Data Developer

Greenville, SC ยท On-site

$65 - $90/hr

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 ...

Global Lending Services

Data Developer

Greenville, SC ยท On-site

$60 - $90/hr

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 ...

Global Lending Services

Data Developer

Greenville, SC ยท On-site

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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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Duncan, SC

Entry Level Data Analysis information

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

As of Sep 5, 2026, the average hourly pay for entry level data analysis in Duncan, SC is $30.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $33.89 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

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

The top searched job categories for Entry Level Data Analysis jobs in Duncan, SC are:

What cities near Duncan, SC are hiring for Entry Level Data Analysis jobs?

Cities near Duncan, SC with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Duncan, SC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,155 per year, or $30.4 per hour.

Data Analyst

Recruit Monitor

Duncan, SC โ€ข On-site

Full-time

Posted 11 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 .

๏ปฟJob 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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