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Entry Level Data Jobs in Georgia (NOW HIRING)

AI & Machine Learning Engineer

Flovilla, GA

$104K - $125K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

As an Entry-Level Data Center Engineer, you'll support the design, implementation, and commissioning of data center systems, working alongside experienced engineers across power, cooling, controls ...

Entry Level Marketing

Atlanta, GA · On-site

$60K - $70K/yr

We are seeking an Entry Level Marketing Representative to help support the growth of our Atlanta ... Excellent analytical skills for assessing market data and making informed decisions. * Outstanding ...

Hazen and Sawyer is seeking an entry-level engineer for our Atlanta office for a variety of water ... Preparing engineering specifications, data sheets, sketches and drawings. * Performing engineering ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data information

See Georgia salary details

$9

$16

$23

How much do entry level data jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level data in Georgia is $16.44, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.46 per hour, depending on experience, location, and employer.

What is a data entry job for beginners?

A data entry job for beginners involves inputting, updating, and managing information in digital systems or databases. It typically requires basic computer skills, attention to detail, and familiarity with tools like spreadsheets or data management software. These roles often offer flexible schedules and do not require advanced qualifications.

What is the easiest entry-level role for data?

An entry-level data role often considered the easiest is a data entry clerk or assistant, which involves inputting and managing data using basic software like Excel or Google Sheets. These positions typically require minimal technical skills and may not require advanced certifications, making them accessible for beginners.

Can I work a data entry job with no experience?

Entry level data entry jobs typically do not require prior experience, as they focus on basic skills like typing, attention to detail, and familiarity with spreadsheet or database software. Employers often provide training, making it accessible for beginners to start in this role. Having basic computer skills and a high school diploma can improve your chances of getting hired.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

Is 40 too late for data science?

Entry level data roles often value skills and relevant training over age, and many professionals start careers in data science later in life. Gaining proficiency in programming languages like Python or R, and understanding data analysis tools, can help transition into the field regardless of age.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What are the most commonly searched types of Data jobs in Georgia? The most popular types of Data jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data jobs? Cities in Georgia with the most Entry Level Data job openings:
Entry Level Data Engineer

Entry Level Data Engineer

Cox Automotive

North Decatur, GA

$67K - $100K/yr

Full-time

PTO

Posted 3 days ago


Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

90th of 138 rated financial services


Job description

Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
  • Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
  • Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
  • Help investigate, communicate, and resolve data integrity issues that may impact business performance
  • Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
  • Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
  • Ensure data follows all information privacy and protection policies
  • Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
  • Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
  • Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
  • Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Required Skills and Qualifications
  • Bachelor's degree in computer science, information systems, statistics, or a related analytical field
  • Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
  • Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
  • Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
  • Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting-full-time role, internship, or college coursework
  • Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
  • General awareness of data platform and data warehouse concepts
  • Strong critical thinking, analytical, and problem-solving skills
  • Eagerness to learn from and be mentored by a collaborative, experienced engineering team
  • Ability to work both independently and as part of a team in a fast-paced environment

Preferred Skills and Qualifications
  • Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
  • Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
  • Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
  • Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
  • Any AI-related certifications from Snowflake, AWS, or other recognized providers
  • Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
  • Experience working in or familiarity with Agile/Scrum methodologies

USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US