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Data Analytics Associate Jobs in Georgia (NOW HIRING)

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Supply associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Supply associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

... Analysis & Data Storytelling Omni Channel Experience Business Acumen Experience AI Analysis ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

Associate, Analytics

Atlanta, GA · Hybrid

$80K - $90K/yr

Job Details Associate, Analytics Location: (Hybrid) Atlanta, GA Overview We are seeking a Marketing ... The ideal candidate will contribute to data preparation, modeling, and insight generation, working ...

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... data infrastructure. * Develops analytical frameworks, roadmaps, and metrics for the team and ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

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Data Analytics Associate information

See Georgia salary details

$2.7K

$5.3K

$7.6K

How much do data analytics associate jobs pay per month?

As of Jun 12, 2026, the average monthly pay for data analytics associate in Georgia is $5,311.67, according to ZipRecruiter salary data. Most workers in this role earn between $4,816.67 and $5,666.67 per month, depending on experience, location, and employer.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting insights, making strategic decisions, and managing complex datasets. The role of a Data Analytics Associate involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What does the data analysis associate do?

A Data Analytics Associate collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports, often working under the guidance of senior analysts or managers. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analytics jobs in Georgia? The most popular types of Data Analytics jobs in Georgia are:
What cities in Georgia are hiring for Data Analytics Associate jobs? Cities in Georgia with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $63,740 per year, or $30.6 per hour.
Associate, Operations Data Analytics

Associate, Operations Data Analytics

Oscar Health

Atlanta, GA • Remote

$91K - $120K/yr

Other

PTO

Posted 4 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

227th of 261 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

  • Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
  • Analyze data to support business teams in making better informed, data-driven decisions
  • Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
  • Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
  • Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
  • Support other strategic projects as assigned to meet business needs
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • 3+ years of technical work experience using analytical tools and writing analytical reports
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
  • 2+ years in building robust data models
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

  • Experience using Python or R
  • 2+ years experience in healthcare or insurance industry
  • Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
  • Prior experience in Member Relations or Customer Success environments.
  • Building data models in dbt
  • Building reports in Looker Studio Pro
  • Git workflows