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Data Analyst Jobs in Pendleton, SC (NOW HIRING)

Fluor

Project Information Manager

Greenville, SC · On-site

$92K - $109K/yr

... 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 ...

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All JobsData Analyst JobsData Analyst Jobs in Pendleton, SC

Data Analyst information

See Pendleton, SC salary details

$28.5K

$69.3K

$114K

How much do data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analyst in Pendleton, SC is $69,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,400.00 and $81,300.00 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.
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What are the most commonly searched types of Data Analyst jobs in Pendleton, SC?

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

What job categories do people searching Data Analyst jobs in Pendleton, SC look for?

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Pendleton, SC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,283 per year, or $33.3 per hour.

Solution Engineer - Analytics

Anderson, SC • On-site

First Quality Retail Services
See more jobs at First Quality Retail Servicesexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members,while maintaining ourfamilyvalues and entrepreneurialspirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Qualitygroup produce high-quality personal care and household products forlargeretailers and healthcareorganizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions.In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions.

Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better.

We are seeking a Solution Engineer - Analytics for our First Quality Tissue SE, LLC facility located in Anderson, SC. The Solution Engineer - Analytics is responsible for designing and developing business intelligence solutions using Analytical software like Microsoft Power BI and Power Automate. This role will collaborate with business stakeholders to gather requirements, create interactive dashboards and reports, ensure data accuracy, and support the Power BI environment to enable organizational decision-making.

Primary responsibilities include:

  • Design, develop, and deploy comprehensive BI solutions using Power BI, from initial data connection to final visualization.
  • Collaborate with business users to gather requirements and translate them into effective Power BI solutions.
  • Integrate Power BI with various data sources (SQL Server, SharePoint, Excel, cloud services, etc.).
  • Develop and maintain automated workflows using Power Automate to streamline business processes, enhance report distribution, and trigger notifications or actions based on data changes or events in Power BI.
  • Develop and maintain robust, scalable data models using best practices to support complex reporting.
  • Manage and optimize the Power BI semantic model to ensure scalability, sustainability, and adaptability for future business growth and evolving data needs.
  • Deliver production-ready Power BI dashboards and reports based on user and developer concepts, ensuring accuracy, usability, and visual appeal.
  • Proactively monitor and troubleshoot Power BI reports and applications, ensuring optimal performance, high availability, and reliability.
  • Troubleshoot and resolve issues related to data accuracy, report functionality, access, and data refresh failures.
  • Implement and enforce data governance, security, and compliance policies within Power BI.
  • Provide training and support to end-users on Power BI features and best practices.
  • Establish and document Power BI governance standards, development best practices, and workflows for the team.
  • Support development and analytics initiatives in other manufacturing analytical platforms as needed by the business.
  • Stay current with Power BI, Power Automate, and related Power Platform updates, features, and other analytical and automation platforms for best practices.

The ideal candidate should possess the following:

Required:

  • Bachelor's degree in Computer science, Information Systems, Data Analytics, or a related field (or equivalent experience).
  • 3+ years of experience developing and administering Power BI solutions.
  • Experience with data modeling, ETL processes, and DAX/Power Query.
  • Experience designing and implementing automated workflows using Power Automate.

Preferred:

  • Microsoft Certified: Power BI Data Analyst Associate (PL-300) .
  • Experience with other BI tools (Tableau, Qlik, etc.).
  • Experience with Python for data analysis (e.g., using libraries like Pandas) and/or shell scripting for automating tasks.

Technical Skills:

  • Proven experience designing, developing, and publishing insightful reports and dashboards using Power BI Desktop.
  • Hands-on experience managing a Power BI Service environment, including publishing reports, managing apps, and configuring workspaces.
  • Strong SQL skills and experience working with relational databases.
  • Hands-on experience with Power Automate for automating business processes and integrating with Power BI.
  • Familiarity with other data platforms or tools within the Microsoft ecosystem (e.g., Azure Data Factory) is advantageous.
  • Understanding of data security, governance, and compliance best practices.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Attention to detail and commitment to data accuracy.

What We Offer You

We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive:

  • Competitive base salary and bonus opportunities
  • Paid time off (three-week minimum)
  • Medical, dental and vision starting day one
  • 401(k) with employer match
  • Paid parental leave
  • Child and family care assistance (dependent care FSA with employer match up to $2500)
  • Bundle of joy benefit (year's worth of free diapers to all team members with a new baby)
  • Tuition assistance
  • Wellness program with savings of up to $4,000 per year on insurance premiums
  • ...and more!

First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data.

First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

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