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Remote Data Analyst Python Jobs in Atlanta, GA (NOW HIRING)

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... Python • Use statistical tools and techniques to extract and analyze trends from the customer ...

Data Scientist

Atlanta, GA · Remote

$60/hr

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... Python * Use statistical tools and techniques to extract and analyze trends from the customer ...

GIS/Geospatial Expert

Atlanta, GA · Remote

$80 - $100/hr

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

Software Engineer, Python - OIT

Atlanta, GA · On-site +1

$49 - $67.50/hr

Works independently to provide functional analysis and then design and implement technical ... DataWeave 2.0 or comparable data transformation experience * Production troubleshooting and support ...

SolidWorks Expert - Remote

Atlanta, GA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... You Have: * 8+ years of experience with data exploration, data cleaning, data analysis, data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Showing results 41-60

Remote Data Analyst Python information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do remote data analyst python jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote data analyst python in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Atlanta, GA look for?

The top searched job categories for Remote Data Analyst Python jobs in Atlanta, GA are:

Infographic showing various Remote Data Analyst Python job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Data Scientist

Atlanta, GA • On-site, Remote

Revenue Analytics
Software Development • 51 - 200 employees

$95K - $110K/yr

Full-time

Re-posted 18 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.