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Data Analyst Jobs in Augusta, GA (NOW HIRING)

DBD International

Data Analyst

Aiken, SC

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 ...

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Data Analyst information

See Augusta, GA salary details

$26.8K

$65.1K

$107.2K

How much do data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst in Augusta, GA is $65,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $76,400.00 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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 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.

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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Augusta, GA? The most popular types of Data Analyst jobs in Augusta, GA are:
What are popular job titles related to Data Analyst jobs in Augusta, GA? For Data Analyst jobs in Augusta, GA, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Augusta, GA look for? The top searched job categories for Data Analyst jobs in Augusta, GA are:
What cities near Augusta, GA are hiring for Data Analyst jobs? Cities near Augusta, GA with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Augusta, GA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,120 per year, or $31.3 per hour.

Data Analyst

DBD International

Aiken, SC

Full-time

Re-posted 6 days ago

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.