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

The Data Sherpas

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

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 ...

New

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... analytics, and business applications using SQL, Informatica, IICS, Snowflake, and Python. * Data ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

... end analytical solutions that will improve their existing processes and ability to derive data ... Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ...

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 ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Documents modeling assumptions, methodology, code, and analytical results clearly and consistently ... Strong proficiency in Python, including experience with common data science libraries such as ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

Collaborate with software engineers, data analysts, and business stakeholders to understand ... Good knowledge of Python and SQL. * Solid understanding of AWS services, specifically S3, SNS/SQS ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

Collaborate with software engineers, data analysts, and business stakeholders to understand ... Good knowledge of Python and SQL. * Solid understanding of AWS services, specifically S3, SNS/SQS ...

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · Remote

$65.25 - $84/hr

Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark ... Lead troubleshooting of production issues and drive root cause analysis and corrective actions.

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark ... Lead troubleshooting of production issues and drive root cause analysis and corrective actions.

Charter Global

Data Scientist

Atlanta, GA · Remote

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Atlanta, GA

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 Aug 21, 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 are popular job titles related to Remote Data Analyst Python jobs in Atlanta, GA?

For Remote Data Analyst Python jobs in Atlanta, GA, the most frequently searched job titles are:

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:

Remote Data Analyst Python jobs near you
Infographic showing various Remote Data Analyst Python job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For:

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


This position is open to direct candidates only. We are not working with third-party agencies.


Candidates must be U.S. Citizens or Green Card holders.


Apply