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Remote Junior Data Analyst Jobs in Georgia (NOW HIRING)

Collaborate with software engineers, data analysts, and business stakeholders to understand ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

New

Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ... Neo4j data analysis. Experience with SQL Strong programming skills in Python or Java Excellent ...

Remote Required Qualifications: * 5+ years of experience in data engineering and analytics roles. * Hands-on experience with Databricks in production environments. * Strong knowledge of data ...

Remote Required Qualifications: * 5+ years of experience in data engineering and analytics roles. * Hands-on experience with Databricks in production environments. * Strong knowledge of data ...

Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ... Experience with Neo4j data analysis. Experience with both SQL and graph databases. Strong ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor; we need visa independent candidates who can work for any employer, like USC & GC. This is a remote ...

JOB BRIEF The Benefits Data Analyst will be responsible for analyzing, coordinating, and optimizing ... This role is remote within the United States. WHO WE ARE GreenSlate is the fastest-growing provider ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... junior data scientists and providing technical leadership across complex analytics initiatives.

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... junior data scientists and providing technical leadership across complex analytics initiatives.

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage ...

Mentor junior data management staff and promote best practices. * Drive process improvements and ... Fully remote role - company equipment provided * Competitive salary and performance-based ...

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining and managing client solutions How You'll Grow Beyond your day-to-day responsibilities, throughout ...

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Remote Junior Data Analyst information

What is a remote junior data analyst?

A Remote Junior Data Analyst is an entry-level role where you analyze data to identify trends, generate reports, and help businesses make data-driven decisions—all while working remotely. Responsibilities typically include cleaning and organizing data, using tools like Excel, SQL, and Python, and visualizing insights with software like Tableau or Power BI. Strong analytical skills, attention to detail, and problem-solving abilities are essential. This role provides a great foundation for growth in data analytics and related fields.

What are the key skills and qualifications needed to thrive in the remote junior data analyst position, and why are they important?

To thrive as a Remote Junior Data Analyst, you need foundational skills in statistics, data interpretation, and spreadsheet management, often supported by a relevant degree or coursework in data analysis or related fields. Familiarity with tools such as SQL, Excel, Python, or data visualization software (like Tableau or Power BI) is highly valued, and basic certifications can be advantageous. Strong communication, problem-solving abilities, and self-motivation are essential for collaborating remotely and presenting findings clearly. These skills enable efficiency, accuracy, and meaningful contribution to data-driven decision-making in a distributed work environment.

What are typical daily responsibilities for a remote junior data analyst?

As a Remote Junior Data Analyst, your daily tasks often include collecting, organizing, and cleaning data, performing basic analyses, and producing reports or visualizations to support business decisions. You may use data management and analysis tools to uncover trends or spot inconsistencies, while collaborating with senior analysts or project managers via virtual meetings. Communication is mainly conducted through email, collaboration platforms, or video calls, and you will regularly update supervisors on your progress. Over time, you may be given more complex data challenges as you gain experience and demonstrate reliability. This role allows you to develop technical and analytical skills in a supportive, remote team environment.

What are the most commonly searched types of Remote Data Analyst jobs in Georgia? The most popular types of Remote Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Remote Junior Data Analyst jobs? Cities in Georgia with the most Remote Junior Data Analyst job openings:
Infographic showing various Remote Junior Data Analyst job openings in Georgia as of July 2026, with employment types broken down into 2% Internship, 90% Full Time, and 8% Contract. Highlights an 100% Remote job distribution.

Junior Data Engineer

Sequoia Connect

Atlanta, GA • On-site, Remote

Full-time

Posted yesterday

New


Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.