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

Global Lending Services

Business Analyst

Greenville, SC · On-site

***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 ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

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

Global Lending Services

Data Scientist

Greenville, SC · 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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Entry Level Data Analyst information

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

As of Jul 19, 2026, the average hourly pay for entry level data analyst in Greer, SC is $31.66, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $35.38 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 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 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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Greer, SC? The most popular types of Data Analyst jobs in Greer, SC are:
What are popular job titles related to Entry Level Data Analyst jobs in Greer, SC? For Entry Level Data Analyst jobs in Greer, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Greer, SC look for? The top searched job categories for Entry Level Data Analyst jobs in Greer, SC are:
What cities near Greer, SC are hiring for Entry Level Data Analyst jobs? Cities near Greer, SC 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 Greer, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,850 per year, or $31.7 per hour.
Business Analyst

Business Analyst

Global Lending Services

Greenville, SC

Full-time

Re-posted 14 days ago

Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

***This posting is to enter our campus recruiting and entry-level process for position offers being made for 2026***
 
What does it mean to be a Business Analyst at GLS?
GLS is a highly analytic-driven company whose business model of providing auto loans to consumers through dealership partners has greatly thrived because of the great work our Analysts do. As an Analyst at GLS, you will work on solving important problems by deploying great critical thinking, education-based skill sets you’ve worked hard to obtain, and your demonstrated ability to learn new ideas and domains and turn knowledge into applied solutions.
 
Analysts play various roles across our company, taking on a variety of assignments within GLS business and operational areas. You will interact with team members both within your own area and cross-functionally, learning how the business is run and how to drive improvements, while gaining solid exposure to senior management.
 
The day-to-day activities will vary based on the group but could include the following:
Credit Risk, Pricing, and Partnership Business Analysts
  • Business Analysts in Credit Risk are responsible for analyzing and improving all aspects of the application processing, automated underwriting, and the pricing decision cycle within a highly competitive marketplace.
  • Business Analysts apply their data analytics and business acumen to support data-driven business decisions. They do this by leveraging multiple internal and external data sources, including both quantitative and qualitative data, and applying a broad range of skills such as visual analytics, estimation and simulation procedures, competitive analysis, etc.
  • Business Analysts are often asking and analytically answering questions such as:
  • What type of change is needed to optimize profit, or drive more volume?
  • How can we better understand the impacts of the changes we’ve made in the past?
  • What new product features and offerings will be more compelling to our dealer-partners?
  • What insights can we gain from our competitors? 
  • What KPI’s should be developed?
  • What are those KPI trends telling us?
What should you already have to be successful in this role?
  • Bachelor’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Information Technology, or a related field required
  • Proficient computer skills and ability to quickly learn new computer applications as required
  • Working knowledge of SQL and/or Python preferred
  • Strong written and verbal communication skills with the ability to present ideas in a cohesive business-focused and user-friendly language
  • Internally motivated with a demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness 
  • Exceptional interpersonal skills: friendly and tactful with the ability to influence others, effectively manage conflict, exercise sound judgment, effectively manage highly sensitive and confidential information, interact at all levels within the organization, and build cross-functional partnerships across the business
Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, days and hours of work are Monday through Friday between the hours of 9:00am-6:00pm.
  • Regular, predictable attendance is required, including overtime hours as business demands dictate
  • Evening and weekend work may be required as job duties demand
  • The position does not require travel
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
  • Remain in a stationary position up to 100% of the workday
  • Constantly operate a computer and other standard office equipment  

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