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Associate Data Analyst Jobs in Decatur, GA (NOW HIRING)

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

New

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

Senior Health Care Analyst (Audit & Data)

Atlanta, GA · Hybrid

$82K - $104K/yr

... have over 900 associates nationwide. At Myers and Stauffer, you will have a career that is ... Draft thorough and detailed reports and provider notification letters based on your data analysis ...

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Associate Data Analyst information

See Decatur, GA salary details

$33.2K

$80.7K

$132.8K

How much do associate data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for associate data analyst in Decatur, GA is $80,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Decatur, GA? The most popular types of Data Analyst jobs in Decatur, GA are:
What are popular job titles related to Associate Data Analyst jobs in Decatur, GA? For Associate Data Analyst jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Associate Data Analyst jobs in Decatur, GA look for? The top searched job categories for Associate Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Associate Data Analyst jobs? Cities near Decatur, GA with the most Associate Data Analyst job openings:
Institutional Research Associate

Institutional Research Associate

Georgia State University

Atlanta, GA • On-site

$55K - $69K/yr

Full-time

Posted 16 days ago


Georgia State University rating

7.6

Company rating: 7.6 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

242nd of 538 rated colleges and universities


Job description

Description:
Institutional Research Associate
The Office of Institutional Research
Georgia State University
The Institutional Research Associate (Data Analyst) is a hands-on role responsible for analyzing data and building data products, including dashboards, reports, and curated data sets. This position serves as the lead analyst on requests related to program and student data, with additional support for student, course, and employee data.
This role contributes as a member of the Analytics and Reporting team within the Office of Institutional Research (OIR) and partners closely with the Office of Academic Affairs (OAA). Both offices are located at GSU's downtown Atlanta campus. The position's work schedule is in-office five days per week.
WHAT MAKES the Office of Institutional Research A GREAT PLACE?
• A knowledge-sharing organization that works collaboratively with diverse partners.
• Professional development opportunity and mentorship
• A rapidly growing unit with institution-wide scope and responsibilities.
HERE IS WHAT YOU WILL DO
• Serve as primary point of contact for OAA data requests, working directly with stakeholders to understand needs and deliver clear, actionable results
• Write SQL and use tools to extract and prepare data from university systems
• Combine and manage data from multiple sources, both internal and external, to support analysis and reporting
• Build dashboards, standard reports, and data visualizations to support decision-making
• Present findings in both written and verbal formats to a range of audiences, including non-technical stakeholders
• Create and maintain documentation to support reproducibility and long-term sustainability of reports and processes
• Support program reporting efforts, including Financial Value Transparency and Gainful Employment reporting requirements
• Participate in the university-wide data community
• Assist with technical support for the syllabus collection and repository system
• Participate in OAA meetings and contribute to the broader university data community
A quality candidate will possess the following:
• Experience extracting and working with data using tools such as Oracle SQL Developer, PL/SQL, Argos, Cognos, or similar platforms
• Experience using data analysis and visualization tools such as Excel, Power Query, Power BI, Tableau, SPSS, STATA, R, or Python
• Strong quantitative and problem-solving skills, with the ability to turn complex questions into clear, usable outputs
• An understanding of reporting and data visualization best practices
• Knowledge of typical university business processes, particularly those impacting data processing
• The ability to work with data from multiple systems and navigate integrated information environments
• Strong organizational skills, including the ability to manage multiple requests and prioritize effectively
• A service-oriented mindset when working with stakeholders across the university
• Clear communication skills, with the ability to explain data to both technical and non-technical audiences
• Experience reviewing, validating, and quality-checking data, analyses, and reports
• A commitment to data accuracy, documentation, and reproducibility
• Awareness of data privacy and compliance considerations (e.g., FERPA, IRB)
• Experience using standard business software tools, including the Microsoft Office Suite
Anticipated Hiring Range: $55,100 - 69,000. Salary offers will be determined based on the candidate's qualifications in relation to the Minimum Hiring Standards. Candidates earlier in their careers are typically offered salaries closer to the minimum of the hiring range, while those with more advanced or relevant experience may be considered for compensation at or above the hiring range.
Disclaimer:
This job requisition provides a high-level job definition. It is not intended to provide a comprehensive or exclusive list of job duties.
As such, job duties and/or responsibilities within the context of this job requisition may change at the discretion the employee's direct supervisor.
Qualifications:
Minimum Hiring Qualifications:
  • Bachelor's degree and three years of related experience; or a combination of education and related experience

In addition to meeting the minimum hiring standards, preference may be given to those who meet the following criteria:
Master's degree and two years of relevant experience
• Experience with Banner by Ellucian or similar student information systems
• Experience building data visualizations and dashboards using tools such as Power BI or Tableau
• Experience working with relational databases and programming languages such as Oracle SQL, Python, R, etc.
• Experience using AI tools to improve efficiency and quality of work
• Experience working with National Student Clearinghouse data
Salary offers will be determined based on the candidate's qualifications in relation to the Minimum Hiring Standards. Candidates earlier in their careers are typically offered salaries closer to the minimum of the hiring range, while those with more advanced or relevant experience may be considered for compensation at or above the hiring range.

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