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Remote Supply Chain Data Analyst Jobs (NOW HIRING)

Remote Position Summary: The Supply Chain Operations Manager is responsible for leading and ... Analyze supply chain data to drive informed decision-making and performance optimization. * Support ...

PDS Defense, Inc. is seeking a Remote Aviation Supply Chain Analyst 5, in Cedar Rapids, IA. Job ID ... Extract data and respond to Resilinc risk events; coordinate rapid response and financial rating ...

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Design robust and scalable data models that support analytical and operational reporting ...

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

$55K - $126K/yr

Remote Work: No Job Number: R0241252 Location: Wright Patterson AFB,OH,US Share job via: Share ... Drive supply chain efficiency and performance through data-driven strategies and advanced analytics.

Drives the Supply Chain data maturity initiative, raising NetSuite and Supply Chain system master ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Showing results 41-60

Remote Supply Chain Data Analyst information

See salary details

$37K

$74.4K

$124.5K

How much do remote supply chain data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote supply chain data analyst in the United States is $74,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Supply Chain Data Analyst vs Remote Logistics Coordinator?

AspectRemote Supply Chain Data AnalystRemote Logistics Coordinator
CredentialsBachelor's in Supply Chain, Data Analytics, or related field; proficiency in data toolsBachelor's in Logistics, Business, or related field; strong organizational skills
Work EnvironmentPrimarily data analysis, reporting, and forecasting tasksCoordination of shipments, tracking, and communication with vendors
Industry UsageUsed across manufacturing, retail, and e-commerce sectorsCommon in transportation, warehousing, and distribution industries
Search & Comparison IntentFocus on data analysis roles within supply chainFocus on logistics and shipment coordination roles

The Remote Supply Chain Data Analyst primarily focuses on analyzing supply chain data to optimize processes, while the Remote Logistics Coordinator manages shipment coordination and vendor communication. Both roles are essential in supply chain operations but differ in their core responsibilities and skill sets.

What are some common challenges faced by remote supply chain data analysts, and how can they be effectively managed?

Remote Supply Chain Data Analysts often face challenges such as coordinating with cross-functional teams across different time zones, ensuring data accuracy from multiple sources, and maintaining clear communication despite the lack of in-person interaction. To effectively manage these challenges, it’s important to establish regular check-ins, use collaborative project management tools, and set clear data validation protocols. Building strong virtual relationships with stakeholders and proactively addressing discrepancies will also help ensure smooth workflow and data-driven decision-making.

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

To thrive as a Remote Supply Chain Data Analyst, you need strong analytical skills, supply chain knowledge, and a background in data analysis or a related field such as business, statistics, or engineering. Familiarity with data visualization tools (like Tableau or Power BI), advanced Excel skills, and experience with ERP systems or SQL are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with cross-functional teams remotely. These skills and qualities enable accurate data-driven decisions that optimize supply chain efficiency and business outcomes.

What is a remote supply chain data analyst?

A Remote Supply Chain Data Analyst is a professional who works off-site to collect, analyze, and interpret data related to a company's supply chain operations. Their main goal is to optimize processes such as procurement, inventory management, and logistics by providing actionable insights based on data trends and performance metrics. They use specialized software and analytical techniques to identify inefficiencies, forecast demand, and help improve supply chain performance. The remote aspect of the role means that all tasks are performed from a location outside the traditional office, often requiring strong communication and collaboration skills to work effectively with distributed teams.
More about Remote Supply Chain Data Analyst jobs
What cities are hiring for Remote Supply Chain Data Analyst jobs? Cities with the most Remote Supply Chain Data Analyst job openings:
What are the most commonly searched types of Supply Chain Data Analyst jobs? The most popular types of Supply Chain Data Analyst jobs are:
What states have the most Remote Supply Chain Data Analyst jobs? States with the most job openings for Remote Supply Chain Data Analyst jobs include:
Infographic showing various Remote Supply Chain Data Analyst job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $74,386 per year, or $35.8 per hour.

Data Engineer AI & Supply Chain : 26-02169

Akraya Inc.

San Francisco, CA • On-site, Remote

$38 - $41/hr

Full-time

Posted 10 days ago


Job description


Primary Skills: Google Cloud Platform (GCP) Data Engineering (Expert), BigQuery, Dataproc & dbt (Advanced), ETL/ELT Pipeline Development (Expert), SQL & Data Modeling (Advanced), Supply Chain Data Engineering (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: Remote (PST Time Zone)
Pay Range: $38 - $41 on W2
Job Summary:
We are seeking a skilled Data Engineer - Data & AI, Supply Chain to join the Supply Chain Data & AI organization. This role focuses on designing, developing, and maintaining scalable cloud-native data pipelines and data products on Google Cloud Platform (GCP) that power enterprise analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS). The ideal candidate has strong hands-on experience with BigQuery, Dataproc, SQL, and dbt, along with expertise in building modern ETL/ELT solutions and scalable data platforms.
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt.
  • Design and maintain high-quality data models supporting enterprise reporting, analytics, and AI use cases.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with Product Managers, Business Analysts, Data Architects, Solution Architects, and engineering teams to translate business requirements into scalable technical solutions.
  • Develop reusable data transformation frameworks while adhering to engineering standards and best practices.
  • Optimize data processing performance, scalability, reliability, and cloud cost efficiency.
  • Perform unit testing, data validation, production support, and troubleshooting to ensure high-quality data delivery.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and technical discussions.
  • Create and maintain technical documentation, data flow diagrams, and implementation artifacts.
Must-have Skills:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 4+ years of Data Engineering experience developing enterprise data solutions.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expertise with BigQuery, Dataproc, SQL, and dbt (Data Build Tool).
  • Strong understanding of ETL/ELT architecture and large-scale data processing.
  • Experience with dimensional data modeling and analytical data warehouse concepts.
  • Experience building scalable cloud-native data pipelines.
  • Knowledge of Git, version control, and CI/CD best practices.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.
  • Experience working in Agile development environments.
Nice-to-have Skills:
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating with Apache Kafka or other event-streaming platforms.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting analytics, AI, or machine learning data platforms.
Preferred Qualifications:
  • Experience working within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations.
  • Experience delivering enterprise cloud data solutions using modern GCP technologies.
  • Strong understanding of scalable data architecture and cloud-native engineering best practices.
  • Self-motivated team player with excellent collaboration skills and a passion for building reliable, high-performance data solutions.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001