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Director Data Analyst Machine Learning Jobs in Georgia

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 ...

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

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

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

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 ...

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 ...

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 ...

ADP is hiring a Director, Data Analytics for the HR Outsourcing (HRO)Analytics organization .We're looking foran experienced leader in business intelligence, visualizations, and data storytelling ...

ADP is hiring a Director, Data Analytics for the HR Outsourcing (HRO)Analytics organization. We're looking for an experienced leader in business intelligence, visualizations, and data storytelling ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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 Director Data Analyst Machine Learning jobs in Georgia?

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

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

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

Infographic showing various Director Data Analyst Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted 4 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