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Principal Planning Analytics Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Planning Analytics Consultant with a contract length of "unknown", offering a pay rate of "unknown". Key skills include advanced Python and Snowflake SQL proficiency, data visualization tools, and experience in manufacturing or supply chain analytics.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 7, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Houston, TX
-
π§ - Skills detailed
#BI (Business Intelligence) #Data Integrity #Agile #Plotly #Data Science #Data Engineering #Libraries #Matplotlib #Data Wrangling #Visualization #Snowflake #GitHub #Datasets #Microsoft Power BI #Scala #Automation #QlikView #Deployment #Streamlit #Cloud #Python #SQL (Structured Query Language)
Role description
ABOUT OUR CLIENT
Our Client is a global leader in the design, manufacturing, and delivery of equipment and services that power the oil and gas industry. With a strong reputation for innovation and operational excellence, they support upstream operations worldwide through advanced technology and integrated solutions.
ABOUT THE ROLE
Our Client is seeking a Principal Planning Analytics Consultant to support a high-impact, project-based initiative focused on demand planning and supply chain analytics. This role is ideal for a hands-on technical expert who can bridge advanced data engineering with real-world manufacturing and supply chain processes to drive measurable business outcomes.
RESPONSIBILITIES
β’ Design and develop advanced analytics solutions using Python and Snowflake SQL
β’ Build and deploy full-stack data applications and interactive dashboards
β’ Translate complex business requirements into scalable technical solutions
β’ Collaborate with cross-functional teams to support manufacturing and supply chain processes
β’ Develop and maintain CI/CD pipelines and GitHub automation workflows
β’ Implement cloud-native and containerized solutions for enterprise-scale applications
β’ Lead agile sprint activities including daily standups and sprint planning
β’ Drive ROI-focused analytics initiatives that deliver measurable business impact
β’ Manage large-scale relational datasets and ensure data integrity across environments
β’ Communicate technical insights effectively to both technical and non-technical stakeholders
QUALIFICATIONS
β’ Bachelorβs degree or higher
β’ Minimum of five years of professional experience in data science within manufacturing or supply chain environments
β’ At least three years of experience working with ERP or MRP systems and data
β’ Advanced proficiency in Python and Snowflake SQL
β’ Strong experience with Snowflake architecture and data platform management
β’ Hands-on experience with data visualization tools such as Power BI, SIGMA, QlikView, or Streamlit
β’ Experience working with large relational datasets and data wrangling techniques
β’ Proven ability to communicate complex concepts clearly across diverse audiences
β’ Experience working in agile development environments
PREFERRED QUALIFICATIONS
β’ Experience with ERP implementations for finance or operations
β’ Familiarity with rapid application development methodologies
β’ Experience with cloud-native deployments and containerization
β’ Proficiency with GitHub automation, CI/CD pipelines, and workflow management
β’ Experience with APIs, service accounts, and secure development practices
β’ Knowledge of test-driven development and rollback strategies
β’ Experience with data visualization libraries such as Matplotlib, Seaborn, or Plotly
β’ Experience leading cross-functional teams across multiple geographies
β’ Demonstrated ability to drive business impact and ROI through analytics initiatives
ABOUT OUR CLIENT
Our Client is a global leader in the design, manufacturing, and delivery of equipment and services that power the oil and gas industry. With a strong reputation for innovation and operational excellence, they support upstream operations worldwide through advanced technology and integrated solutions.
ABOUT THE ROLE
Our Client is seeking a Principal Planning Analytics Consultant to support a high-impact, project-based initiative focused on demand planning and supply chain analytics. This role is ideal for a hands-on technical expert who can bridge advanced data engineering with real-world manufacturing and supply chain processes to drive measurable business outcomes.
RESPONSIBILITIES
β’ Design and develop advanced analytics solutions using Python and Snowflake SQL
β’ Build and deploy full-stack data applications and interactive dashboards
β’ Translate complex business requirements into scalable technical solutions
β’ Collaborate with cross-functional teams to support manufacturing and supply chain processes
β’ Develop and maintain CI/CD pipelines and GitHub automation workflows
β’ Implement cloud-native and containerized solutions for enterprise-scale applications
β’ Lead agile sprint activities including daily standups and sprint planning
β’ Drive ROI-focused analytics initiatives that deliver measurable business impact
β’ Manage large-scale relational datasets and ensure data integrity across environments
β’ Communicate technical insights effectively to both technical and non-technical stakeholders
QUALIFICATIONS
β’ Bachelorβs degree or higher
β’ Minimum of five years of professional experience in data science within manufacturing or supply chain environments
β’ At least three years of experience working with ERP or MRP systems and data
β’ Advanced proficiency in Python and Snowflake SQL
β’ Strong experience with Snowflake architecture and data platform management
β’ Hands-on experience with data visualization tools such as Power BI, SIGMA, QlikView, or Streamlit
β’ Experience working with large relational datasets and data wrangling techniques
β’ Proven ability to communicate complex concepts clearly across diverse audiences
β’ Experience working in agile development environments
PREFERRED QUALIFICATIONS
β’ Experience with ERP implementations for finance or operations
β’ Familiarity with rapid application development methodologies
β’ Experience with cloud-native deployments and containerization
β’ Proficiency with GitHub automation, CI/CD pipelines, and workflow management
β’ Experience with APIs, service accounts, and secure development practices
β’ Knowledge of test-driven development and rollback strategies
β’ Experience with data visualization libraries such as Matplotlib, Seaborn, or Plotly
β’ Experience leading cross-functional teams across multiple geographies
β’ Demonstrated ability to drive business impact and ROI through analytics initiatives






