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Data Analyst Machine Learning Jobs in Georgia (NOW HIRING)

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... mining, machine learning, data warehousing, data modeling, data architecture, data management ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... mining, machine learning, data warehousing, data modeling, data architecture, data management ...

Kodeva LLC

Business / Data Analyst

Atlanta, GA · On-site

... machine learning techniques based on pattern recognition. Develop widgets to automate manual tasks to improve productivity. Data Analyst Responsibilities: • Analyze complex requirements by reading ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions * Cloud ...

Stryker Corporation

Data Analyst

Atlanta, GA · On-site

Proficiency in data analysis tools such as Excel, SQL, and data visualisation software. * Strong ... Knowledge of machine learning techniques and applications. * Familiarity with database management ...

Jobsultant Solutions

Data Analyst

Atlanta, GA · On-site

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Athena Technology Group, Inc. (ATG)

Process modeling data and perform advanced analytics * Apply machine learning, natural language processing, and network analysis techniques * Develop innovative approaches to analyze large-scale ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$100 - $125/hr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

... machine learning Predictive modeling experience Understanding of Linux systems and automation of jobs Exposure to Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

... machine learning Predictive modeling experience Understanding of Linux systems and automation of jobs Exposure to Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and ...

VeeRteq Solutions Inc.

Data Scientist

Johns Creek, GA · On-site

The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. The candidate will work closely with business ...

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All JobsData Analyst Machine Learning JobsData Analyst Machine Learning Jobs in Georgia

Data Analyst Machine Learning information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do data analyst machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analyst machine learning in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is a data analyst machine learning?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the key skills and qualifications needed to thrive in the data analyst machine learning role?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

What are the typical career progression opportunities for someone in a data analyst machine learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

What is the salary of data analyst in AI ML?

The average salary for a Data Analyst specializing in AI and Machine Learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning tools tend to earn higher salaries, especially in tech hubs and companies focusing on AI projects.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Georgia?

The most popular types of Data Analyst Machine Learning jobs in Georgia are:

What are popular job titles related to Data Analyst Machine Learning jobs in Georgia?

For Data Analyst Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Analyst Machine Learning jobs in Georgia look for?

The top searched job categories for Data Analyst Machine Learning jobs in Georgia are:

Data Analyst Machine Learning jobs near you
Infographic showing various Data Analyst Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Data Analyst

Sandy Springs, GA • On-site

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

Full-time

Re-posted 6 days ago

Job description

Data Analyst - Risk Management Analytics
Location: Sandy Springs, GA | Job Type: Contract
About the Role
Join a high-impact Risk Management team as a Data Analyst, where you'll drive strategic decision-making across acquisitions, collections, and recovery. Leverage advanced analytics, machine learning, and predictive modeling to solve real business challenges in credit, collections, and pricing. This role empowers you to work with large, complex datasets and transform data into actionable insights, directly shaping the company's risk strategies. You'll collaborate with cross-functional stakeholders and global teams, and gain exposure to the latest tools and methodologies in the evolving field of risk analytics.
Responsibilities
- Design, implement, and monitor robust analytical tools and data-driven solutions for the full risk lifecycle (acquisition, collections, recovery, pricing)
- Extract, cleanse, and validate large, multi-source data to ensure quality, consistency, and accuracy for analytical projects and recurring reporting
- Conduct advanced quantitative analysis using SQL, Python, and new machine learning techniques to uncover trends, segmentations, and business opportunities
- Develop scorecards, KPIs, and performance metrics to support risk-based decisions and strategic initiatives
- Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders, including leadership
- Support the development, testing, and ongoing monitoring of internal and vendor-provided models in alignment with governance and compliance standards
- Prepare quarterly performance reports, monitor model effectiveness, and contribute to continuous process improvement
- Partner with external vendors to evaluate, implement, and review third-party scoring solutions and ensure compliance documentation
- Stay up to date with emerging analytics tools, methodologies, and best practices to drive innovation within the team
Required Skills and Experience
- Advanced SQL expertise for deep analysis of large and complex datasets
- Strong Python skills for analytics, modeling, and data manipulation (beyond reporting)
- Demonstrated experience developing scorecards, KPIs, and performance metrics
- Proven analytical and problem-solving capabilities, with the ability to translate complex data into business insights
- Experience advancing from dashboard building to predictive and strategic analytics
- Excellent written and verbal communication skills for diverse stakeholder engagement
- Experience collaborating in cross-functional environments
Preferred Skills
- Background in risk management, automotive, or financial services analytics
- Familiarity with credit decision engines, scorecards, or model governance frameworks
- Proficiency with SAS or similar analytics tools
- Experience in vendor model oversight and compliance reporting
Benefits
- Exposure to cutting-edge analytics and machine learning applications in risk management
- Opportunities for career growth through cross-functional collaboration and innovation
- Flexible work arrangements; remote candidates considered
- No sponsorship required; open to authorized candidates
How to Apply
Ready to shape the future of risk analytics? Submit your resume today for immediate consideration.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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