1

Data Analyst Computer Science Jobs in Atlanta, GA

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure clients derive measurable business value from their data. Responsibilities : • Support discovery ...

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

A Data Analyst leverages technical abilities to synthesize complex analytical tasks into easily ... B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field * Work ...

Bachelor's degree in information science, data management, computer science or related field ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

This role will report to the Energy Analytics Data Scientist. The ideal candidate will be very comfortable in SQL with a desire to further their technical and analytical skills, as there will be ...

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with the ability to work independently and ...

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with the ability to work independently and ...

next page

Showing results 1-20

Data Analyst Computer Science information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do data analyst computer science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data analyst computer science in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI 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, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What are popular job titles related to Data Analyst Computer Science jobs in Atlanta, GA? For Data Analyst Computer Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Atlanta, GA look for? The top searched job categories for Data Analyst Computer Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analyst Computer Science jobs? Cities near Atlanta, GA with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.
Data Science Analyst

Data Science Analyst

Further

Atlanta, GA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Further is a data, cloud, and AI company focused on helping businesses turn raw data into meaningful decisions. They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure clients derive measurable business value from their data.
Responsibilities:
• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Assist in designing and executing reporting, analytics, and optimization briefs.
• Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.
Qualifications:
Required:
• 2–5 years of professional experience in data science or advanced marketing analytics.
• Strong command of R and/or Python for data manipulation and statistical analysis.
• Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
Preferred:
• Proficiency in SQL for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Exceptional 'data-to-story' skills—the ability to explain the 'so what' behind a coefficient or a p-value.
• Adobe Analytics
Company:
Further is a data, cloud, and AI company whose sole focus is helping you turn raw data into the right decisions. Founded in 2004, the company is headquartered in Atlanta, USA, with a team of 51-200 employees. The company is currently Growth Stage.