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Data Analyst Jobs in Anderson, SC (NOW HIRING)

Staffingine LLC

Data Analyst

Greenville, SC · On-site

Data Analyst Job Location: Greenville, SC Job Type: Contract * Help prepare borrowing base reports, and monthly service reports * Provide support in initiatives with Data Governance to help optimize

Vertiv Co

Data Analytics Senior Analyst

Pelzer, SC · On-site

$64K - $81K/yr

... Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

Fluor

Senior Project Information Manager

Greenville, SC · On-site

... data analyst skills and/or data quality management Specialize in business process modeling and management Conduct surveillance of industry, client, and competitor intelligence (e.g., conferences ...

All JobsData Analyst JobsData Analyst Jobs in Anderson, SC

Data Analyst information

See Anderson, SC salary details

$29.6K

$71.9K

$118.3K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst in Anderson, SC is $71,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $84,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Anderson, SC? The most popular types of Data Analyst jobs in Anderson, SC are:
What job categories do people searching Data Analyst jobs in Anderson, SC look for? The top searched job categories for Data Analyst jobs in Anderson, SC are:
What cities near Anderson, SC are hiring for Data Analyst jobs? Cities near Anderson, SC with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Anderson, 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 $71,894 per year, or $34.6 per hour.
Data Analyst

Data Analyst

Staffingine LLC

Greenville, SC • On-site

Contractor

Posted 13 days ago

Job description

Job Title: Data Analyst 
Job Location: Greenville, SC 
Job Type:  Contract 

Job Description:  

  • Help prepare borrowing base reports, and monthly service reports 

  • Provide support in initiatives with Data Governance to help optimize 

  • Treasury processes around data 

  • Coordinating and preparing necessary material for investor presentations, management reporting, and other necessary reporting requests 

  • Performing ad-hoc analyses, and other duties as assigned 

Qualifications: 

  • Excellent communication skills with acute attention to detail 

  • Strong analytical skills, with ability to problem solve 

  • Proficient with Excel, Word, and PowerPoint 

  • Some proficiency in SQL, Snowflake preferred