

Resolve Tech Solutions
Supply Chain Data Analytics Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Supply Chain Data Analytics Consultant on a contract-to-hire basis, requiring 5+ years of experience in manufacturing or supply chain analytics. Key skills include Python, Snowflake SQL, and data visualization. Location is hybrid, local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Deployment #Datasets #GitHub #SQL (Structured Query Language) #Microsoft Power BI #"ETL (Extract #Transform #Load)" #QlikView #Data Science #Scala #Workday #Snowflake #Agile #Python #Automation #API (Application Programming Interface) #Visualization #Migration #BI (Business Intelligence) #Data Modeling #Cloud #Streamlit
Role description
Principal Demand Planning & Supply Chain Data Analytics Consultant
Position Type: Contract to hire
Location: Local candidates only
Schedule: 8-hour workday (flexible: 7:00 AM–4:00 PM or 8:00 AM–5:00 PM)
Work Model: Hybrid (3 days onsite / 2 days remote)
Position Overview
We are seeking a highly skilled, hands-on Data Analytics Consultant with deep expertise in Python, Snowflake SQL, and full-stack analytics development. This role focuses on delivering impactful data solutions within manufacturing and supply chain environments, with a strong emphasis on ERP/MRP data and business process optimization.
This individual will work in an Agile environment, partnering closely with cross-functional teams to design, develop, and deploy scalable analytics solutions that drive business value and operational efficiency.
Key Responsibilities
• Design, develop, and deploy end-to-end data analytics solutions using Python and Snowflake
• Build interactive dashboards and applications using tools such as Power BI, Sigma, QlikView, or Streamlit
• Analyze and transform large-scale ERP/MRP datasets to support supply chain and demand planning initiatives
• Translate business requirements into technical solutions and communicate insights to stakeholders
• Support Agile delivery through daily standups, sprint planning, and iterative development
• Implement CI/CD pipelines, GitHub workflows, and deployment best practices
• Develop scalable, cloud-based and containerized solutions with API integrations
Required Qualifications
• 5+ years of data analytics or data science experience in manufacturing and/or supply chain environments
• Advanced proficiency in Python and Snowflake SQL, including data modeling and large dataset processing
• Hands-on experience with Snowflake architecture and environment migrations
• Experience with ERP/MRP systems and data (Order-to-Cash, Procure-to-Pay, Demand-to-Deliver)
• Strong data visualization experience (Power BI, Sigma, QlikView, Streamlit, or similar)
• Experience with cloud platforms, CI/CD pipelines, and GitHub automation
• Strong communication skills with the ability to translate technical concepts into business impact
Preferred Qualifications
• Experience with ERP implementations for Finance or Operations
• Rapid Application Development (RAD) experience
• Familiarity with containerization and API/service-based architectures
• Experience with TDD, rollback strategies, and production deployment best practices
• Proven ability to drive ROI through analytics and influence business decisions
• Experience working across multiple geographies and leading cross-functional teams
Principal Demand Planning & Supply Chain Data Analytics Consultant
Position Type: Contract to hire
Location: Local candidates only
Schedule: 8-hour workday (flexible: 7:00 AM–4:00 PM or 8:00 AM–5:00 PM)
Work Model: Hybrid (3 days onsite / 2 days remote)
Position Overview
We are seeking a highly skilled, hands-on Data Analytics Consultant with deep expertise in Python, Snowflake SQL, and full-stack analytics development. This role focuses on delivering impactful data solutions within manufacturing and supply chain environments, with a strong emphasis on ERP/MRP data and business process optimization.
This individual will work in an Agile environment, partnering closely with cross-functional teams to design, develop, and deploy scalable analytics solutions that drive business value and operational efficiency.
Key Responsibilities
• Design, develop, and deploy end-to-end data analytics solutions using Python and Snowflake
• Build interactive dashboards and applications using tools such as Power BI, Sigma, QlikView, or Streamlit
• Analyze and transform large-scale ERP/MRP datasets to support supply chain and demand planning initiatives
• Translate business requirements into technical solutions and communicate insights to stakeholders
• Support Agile delivery through daily standups, sprint planning, and iterative development
• Implement CI/CD pipelines, GitHub workflows, and deployment best practices
• Develop scalable, cloud-based and containerized solutions with API integrations
Required Qualifications
• 5+ years of data analytics or data science experience in manufacturing and/or supply chain environments
• Advanced proficiency in Python and Snowflake SQL, including data modeling and large dataset processing
• Hands-on experience with Snowflake architecture and environment migrations
• Experience with ERP/MRP systems and data (Order-to-Cash, Procure-to-Pay, Demand-to-Deliver)
• Strong data visualization experience (Power BI, Sigma, QlikView, Streamlit, or similar)
• Experience with cloud platforms, CI/CD pipelines, and GitHub automation
• Strong communication skills with the ability to translate technical concepts into business impact
Preferred Qualifications
• Experience with ERP implementations for Finance or Operations
• Rapid Application Development (RAD) experience
• Familiarity with containerization and API/service-based architectures
• Experience with TDD, rollback strategies, and production deployment best practices
• Proven ability to drive ROI through analytics and influence business decisions
• Experience working across multiple geographies and leading cross-functional teams






