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Data Analyst Jobs in Aiken, SC (NOW HIRING)

DBD International

Data Analyst

Aiken, SC · On-site

$65 - $85/hr

Role summary As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop ...

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Data Analyst information

See Aiken, SC salary details

$28.9K

$70.3K

$115.8K

How much do data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analyst in Aiken, SC is $70,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $82,600.00 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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The top searched job categories for Data Analyst jobs in Aiken, SC are:

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

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Aiken, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,349 per year, or $33.8 per hour.

Data Analyst

DBD International

Aiken, SC • On-site

$65 - $85/hr

Other

Re-posted yesterday

Job description

Role summary

As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross‑functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.

What you will be doing

  • Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision‑making.

  • Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.

  • Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.

  • Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.

  • Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.

  • Providing training, guidance, and ongoing support to users of data platforms and analytics tools.

Formal qualifications or training

  • We’d love to hear from you if you have hands‑on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.

Make a Difference with DBD

At DBD, we know you're looking for more than just a job – you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations.

Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year‑on‑year, over the past two years, we continue to welcome new, talented individuals to our team.

We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it.

Join us to play a key role in shaping the nuclear sector's future.

Make a difference today with DBD.

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