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Remote Quantitative Data Analyst Jobs in Georgia

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to structure ambiguous ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Aquent

Performance Marketing Analyst

Atlanta, GA · On-site +1

$25 - $28/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in a quantitative field such as Data Analytics, Statistics, Marketing Technology, Finance, or Marketing Analytics. Degrees in Economics or Mathematics with a business/marketing ...

Rubicon

Data Management Analyst

Atlanta, GA · On-site +1

Remote/Hybrid - USA Reports to: Manager, Contract and Data Management Department Name: Strategic Sourcing/Supply Chain Position Type : Full Time, Exempt Position Summary The Data Management Analyst ...

Wood Plc

GIS Analyst

Kennesaw, GA · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience * 4+ years of experience in data science, advanced analytics, and building production-level ML ...

CVR ASSOCIATES INC

ASSOCIATE

Alpharetta, GA · Remote

Remote Schedule: Full-Time | Remote| Monday-Friday, 8 AM-5 PM CST Status: Exempt Are you a dynamic ... Analyze and interpret qualitative and quantitative data for projects, including but not limited to ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Bachelor's degree in quantitative field is required, Master's is preferred * 4 years of ...

Georgia's Own Credit Union

Product Analyst

Atlanta, GA · On-site +1

... benefits of remote work. We provide the necessary tools and technology to ensure seamless ... Apply enterprise data governance standards, ensuring consistent definitions, documentation, and ...

Georgias's Own

Product Analyst

Atlanta, GA · On-site +1

... benefits of remote work. We provide the necessary tools and technology to ensure seamless ... Apply enterprise data governance standards, ensuring consistent definitions, documentation, and ...

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

NTT DATA Services

$164K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Req ID: 375409 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Infor Workbrain/WFM Funcitional Analyst - REMOTE to join our team in ...

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Remote Quantitative Data Analyst information

What is a remote quantitative data analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

What are some typical challenges faced by remote quantitative data analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What are the key skills and qualifications needed to thrive as a remote quantitative data analyst, and why are they important?

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

What is the difference between Remote Quantitative Data Analyst vs Remote Data Scientist?

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

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

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

What are popular job titles related to Remote Quantitative Data Analyst jobs in Georgia?

For Remote Quantitative Data Analyst jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Data Analyst jobs in Georgia look for?

The top searched job categories for Remote Quantitative Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Remote Quantitative Data Analyst jobs?

Cities in Georgia with the most Remote Quantitative Data Analyst job openings:

Remote Quantitative Data Analyst jobs near you

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 26 days ago

Job description

Data Scientist
Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
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-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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