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Remote Data Entry Analyst Jobs in Georgia (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 ... Flexible work environment and remote work options. Join us and be part of a team building ...

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 ... Flexible work environment and remote work options. Join us and be part of a team building ...

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 ... Collaboration and Leadership Collaborate with data engineers, analysts, QA teams, and business ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

This role will be remote based in the US with periodic heavy domestic travel. Job Responsibilities ... Perform analytical data review to identify patterns, inconsistencies, and structural issues

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

This role will be remote based in the US with periodic heavy domestic travel. Job Responsibilities ... Perform analytical data review to identify patterns, inconsistencies, and structural issues

PerLuxe Travels

Customer Support Executive

Atlanta, GA · On-site +1

... data entry ∙ Delivering a seamless, positive client experience ∙ Communicating with clients via phone, email, or text What We Offer: ∙ Fully remote. Work from anywhere ∙ Flexible hours ...

Geotab

Sales Commission Analyst

Atlanta, GA · Hybrid

Audit compensation and CRM data, reconcile Salesforce and reporting outputs, and resolve ... This role is open to remote candidates across the United States; however, employees local to a ...

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All JobsData Entry Analyst JobsRemote Data Entry Analyst JobsRemote Data Entry Analyst Jobs in Georgia

Remote Data Entry Analyst information

See Georgia salary details

$11

$27

$52

How much do remote data entry analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote data entry analyst in Georgia is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $31.06 per hour, depending on experience, location, and employer.

Are any remote data entry analyst jobs legit?

Remote data entry analyst jobs are legitimate positions that involve inputting and managing data remotely, often requiring skills in data management tools like Excel or database software. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information.

What is a remote data entry analyst?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

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

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

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

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What are popular job titles related to Remote Data Entry Analyst jobs in Georgia? For Remote Data Entry Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Analyst jobs in Georgia look for? The top searched job categories for Remote Data Entry Analyst jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Entry Analyst jobs? Cities in Georgia with the most Remote Data Entry Analyst job openings:
Remote Data Entry Analyst jobs near you
Infographic showing various Remote Data Entry Analyst job openings in Georgia as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,829 per year, or $27.8 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

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.
  • 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.


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.


We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.

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