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Data Analyst Jobs in Easley, SC (NOW HIRING)

Jobsultant Solutions

Data Analyst

Duncan, SC · On-site

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 ...

Recruit Monitor

Data Analyst

Duncan, SC · On-site

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 ...

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

Purpose Financial

HR Data Analyst

Greenville, SC · On-site

Position Summary The HR Data Analyst supports our growing HR Analytics function to advance the HR data analytics strategy. This role serves as the operational foundation of the team - ensuring that ...

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered ...

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered ...

SNAP Diagnostics

IT Data Analyst II

Anderson, SC · On-site

The IT Data Analyst provides data, reporting, and analytics support across TTI's Carolina businesses - Consumer Power Tools (CPT), Outdoor Power Equipment (OPE), and Floor Care (FC) - partnering with ...

Vertiv Group Corp.

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 ...

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 ...

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All JobsData Analyst JobsData Analyst Jobs in Easley, SC

Data Analyst information

See Easley, SC salary details

$31.9K

$77.5K

$127.6K

How much do data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst in Easley, SC is $77,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. 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 Easley, SC?

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

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For Data Analyst jobs in Easley, SC, the most frequently searched job titles are:

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Easley, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $77,546 per year, or $37.3 per hour.

Data Analyst

Duncan, SC • On-site

Jobsultant Solutions
See more jobs at Jobsultant Solutionsexternal

Full-time

Posted 7 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.

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