2

Remote Nike Data Analyst Jobs in Decatur, GA (NOW HIRING)

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 ...

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 ...

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

Analyst, Acquisition Marketing

Atlanta, GA · On-site +1

$85K - $115K/yr

You're a great fit if you're comfortable working with data across multiple sources, excited about ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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

SEO Analyst (Fully Remote)

Atlanta, GA · On-site +1

$55K - $65K/yr

Data-Driven Storytelling - Structure, optimize, and publish proprietary PadSplit data and research to establish the company as the authoritative source for housing and financial mobility insights.

Data-Driven Storytelling - Structure, optimize, and publish proprietary PadSplit data and research to establish the company as the authoritative source for housing and financial mobility insights.

The Role We Need PadSplit is hiring an SEO Analyst to own and scale our organic search strategy ... You're equally comfortable auditing structured data, building content strategies, and leveraging ...

next page

Showing results 1-20

Remote Nike Data Analyst information

See Decatur, GA salary details

$33.2K

$80.7K

$132.8K

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

As of Jul 11, 2026, the average yearly pay for remote nike data analyst in Decatur, GA is $80,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Nike Data Analysts, and how can they be overcome?

Remote Nike Data Analysts often face challenges related to collaborating across time zones and ensuring clear communication with cross-functional teams. To overcome these hurdles, it's important to leverage collaboration tools, maintain proactive communication, and establish regular check-ins with stakeholders. Additionally, understanding Nike's unique data systems and aligning analysis with brand objectives can take time—staying engaged with internal resources and ongoing training helps ensure accuracy and impact in your analyses.

What is the difference between Remote Nike Data Analyst vs Remote Adidas Data Analyst?

AspectRemote Nike Data AnalystRemote Adidas Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; experience with analytics toolsBachelor's in Data Analytics, Business, or related; proficiency in data tools
Work EnvironmentRemote, often within sportswear or retail industryRemote, typically within sportswear or retail sector
Employer & Industry UsageNike's global sportswear and apparel companyAdidas' international sportswear and fashion brand
Common Search & ComparisonYesYes

The Remote Nike Data Analyst and Remote Adidas Data Analyst roles share similar credentials, work environments, and industry usage. Both positions involve analyzing sales, marketing, and product data within the sportswear industry, making them comparable in skills and responsibilities. The main difference lies in the brand focus—Nike versus Adidas—yet both serve global sportswear markets with remote analytics teams.

What is a Remote Nike Data Analyst?

A Remote Nike Data Analyst is a professional who works from a location outside of Nike offices to collect, process, and interpret data that supports Nike's business decisions. They analyze large datasets related to sales, customer behavior, supply chain, and marketing campaigns to provide actionable insights. Using tools like Excel, SQL, Python, and data visualization platforms, they help various Nike teams optimize their strategies for better performance. Collaboration is often done virtually with cross-functional teams, requiring strong communication and analytical skills.

What are the key skills and qualifications needed to thrive as a Remote Nike Data Analyst, and why are they important?

A Remote Nike Data Analyst should possess strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Outstanding attention to detail, effective communication, and the ability to work independently are vital soft skills for excelling in a remote environment. These skills ensure accurate insights, data-driven decision-making, and seamless collaboration across Nike's global teams.
What job categories do people searching Remote Nike Data Analyst jobs in Decatur, GA look for? The top searched job categories for Remote Nike Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Nike Data Analyst jobs? Cities near Decatur, GA with the most Remote Nike Data Analyst job openings:
Infographic showing various Remote Nike Data Analyst job openings in Decatur, GA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 10% Part Time, 2% Temporary, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $80,684 per year, or $38.8 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Posted yesterday


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.