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Entry Level Data Management Jobs in Atlanta, GA (NOW HIRING)

Manage setup and implementation of RCC's proprietary data management and visualization software (ASI) * Work alongside the ASI development team to test performance and improve new feature rollouts

Manage setup and implementation of RCC's proprietary data management and visualization software (ASI) * Work alongside the ASI development team to test performance and improve new feature rollouts

Entry Level Management

Woodstock, GA ยท On-site

$39K - $47K/yr

Conducting market research and analyzing data to identify trends * Generating leads and qualifying ... Strong organizational and time management skills Those with experience or interest in any of the ...

Entry Level Marketing

Atlanta, GA ยท On-site

$62K - $75K/yr

Collaborate with management to support product launches and promotions. * Schedule meetings with ... Excellent analytical skills for assessing market data and making informed decisions. * Outstanding ...

Digital Technology Analyst I

Atlanta, GA ยท On-site

$94K - $112K/yr

This entry-level to early-career role is responsible for maintaining servers, databases, and cloud ... Manage and optimize data storage solutions. * Ensure data integrity and accessibility. End-User ...

Entry Level Sales Assistant

Atlanta, GA ยท On-site

$34K - $40K/yr

... M system. * Coordinate and schedule meetings, appointments, and events. * Provide support in creating sales reports and analyzing sales data. * Assist in the development and implementation of sales ...

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Entry Level Data Management information

See Atlanta, GA salary details

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How much do entry level data management jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level data management in Atlanta, GA is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $21.06 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data management roles often value skills and relevant training over age, and many professionals transition into data science later in their careers. Gaining knowledge of tools like SQL, Excel, and basic programming can help, regardless of age, and continuous learning is common in the field.

How to start a career in data management?

To start a career in data management, gain foundational knowledge in database concepts, data structures, and SQL through online courses or certifications. Developing skills in data cleaning, organization, and tools like Excel or data management software can improve employability, and entry-level roles often require a bachelor's degree in information systems, computer science, or related fields.

Are there entry-level jobs at data centers?

Entry-level data management roles at data centers often include positions such as data technician or assistant, which may require basic knowledge of data systems and familiarity with data management tools. These roles typically offer on-the-job training and may require certifications like CompTIA Data+ or basic IT skills. Opportunities are available for individuals seeking to start a career in data infrastructure and management environments.

What are entry level data management jobs?

Entry level data management jobs involve organizing, maintaining, and ensuring the accuracy of data within a company or organization. These roles typically include tasks such as data entry, data cleaning, updating databases, and assisting with data analysis projects under the supervision of more experienced data professionals. Entry level positions are ideal for those new to data management who want to build foundational skills in handling and processing data, often requiring attention to detail and proficiency with spreadsheet or database software.

Can I be a data analyst with no experience?

Entry level data management roles often do not require prior experience, but familiarity with tools like Excel, SQL, or data visualization software can be beneficial. Gaining relevant skills through online courses or certifications can improve your chances of starting as a data analyst without experience.

What are some common challenges faced by entry level data management professionals, and how can they be overcome?

Entry level data management professionals often encounter challenges such as ensuring data accuracy, learning new data management software, and understanding organizational data standards. These challenges can be overcome by taking advantage of training resources, seeking mentorship from experienced team members, and maintaining clear documentation. Proactively communicating with colleagues and asking questions can also help new hires quickly adapt to the team's workflows and best practices.

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

To thrive as an Entry Level Data Management professional, you need strong attention to detail, basic data analysis skills, and a relevant degree in fields like information systems, statistics, or business. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization platforms is commonly required. Excellent organizational skills, effective communication, and a proactive approach to problem-solving help you stand out in this role. These skills and qualities are essential for maintaining data accuracy, supporting business decisions, and ensuring efficient data processes.

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

AspectEntry Level Data ManagementData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, database maintenance, data quality controlData interpretation, reporting, visualization
Employer & Industry UsageBusinesses managing large datasets, IT departmentsMarketing, finance, healthcare, consulting firms

Entry Level Data Management focuses on organizing, maintaining, and ensuring data quality within organizations. Data Analysts interpret data to generate insights and support decision-making. While both roles require familiarity with databases and data tools, Data Analysts typically perform more analytical and reporting tasks, whereas Data Management roles emphasize data integrity and storage.

What are the most commonly searched types of Data Management jobs in Atlanta, GA? The most popular types of Data Management jobs in Atlanta, GA are:
What job categories do people searching Entry Level Data Management jobs in Atlanta, GA look for? The top searched job categories for Entry Level Data Management jobs in Atlanta, GA are:
Infographic showing various Entry Level Data Management job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,484 per year, or $19.5 per hour.

CAD Drafter/Entry Level Engineer

Wesley International LLC

Scottdale, GA โ€ข On-site

$40K - $75K/yr

Full-time

Re-posted 11 days ago


Job description

Job Title: Drafter / Entry-Level Engineer
Department: Engineering
Reports To: Lead Engineer

Position Summary

The CAD Drafter / Entry-Level Engineer supports the engineering function by executing CAD design, drawing creation, revision control, and vendor package preparation. This role enables the Lead Engineer to focus on high-level design, problem-solving, and engineering strategy by ensuring accurate, timely, and well-organized technical documentation.

Key Responsibilities

Engineering Task Execution

  • Review assigned engineering tasks, markups, and design intent provided by the Lead Engineer
  • Identify and clarify missing or unclear requirements before beginning work
  • Execute tasks in alignment with project priorities and deadlines

CAD & Engineering Documentation

  • Create and revise 3D CAD models and 2D engineering drawings
  • Update assemblies and Bills of Materials (BOMs)
  • Maintain alignment between 3D models, drawings, and BOM structures
  • Implement Engineering Change Orders (ECOs) across models, assemblies, and drawings
  • Ensure all documentation adheres to established engineering and drafting standards
  • Maintain revision accuracy and proper version control


Vendor Package Preparation

  • Compile complete and accurate vendor/manufacturing drawing packages
  • Verify correct revisions, file references, and specifications
  • Organize and prepare deliverables for manufacturing and external vendors
  • Support the Lead Engineer in final release readiness

Manufacturing & Production Support

  • Improve drawing clarity to support production efficiency
  • Assist in developing assembly documentation and visual aids
  • Support troubleshooting by updating documentation based on shop feedback

PDM & Engineering Standards Compliance

  • Follow established Product Data Management (PDM) workflows
  • Maintain organized file structures and documentation consistency
  • Reinforce engineering documentation standards and best practices

Cross-Functional & Engineering Support

  • Support engineering changes and updates across departments
  • Assist with production, quality, and supply chain documentation needs
  • Collaborate with internal teams to ensure smooth execution of engineering deliverables

Continuous Improvement

  • Identify opportunities to improve documentation workflows and efficiency
  • Contribute to SOP development and process improvements
  • Support initiatives that reduce engineering bottlenecks and improve throughput


Qualifications

Education:

  • Associateโ€™s or bachelorโ€™s degree in engineering, Drafting, or a related field (or equivalent experience)

Experience:

  • Entry-level to 2 years of experience in CAD drafting or engineering support

Technical Skills:

  • Proficiency in CAD software (e.g., SolidWorks or similar)
  • Understanding of BOM structures and engineering documentation
  • Familiarity with PDM systems preferred


Success Profile

  • Detail-oriented with strong organizational skills
  • Ability to follow structured processes and standards
  • Proactive in identifying gaps and seeking clarification
  • Strong communication and collaboration skills
  • Eagerness to learn and grow within an engineering environment