Job description

The role will partner with teams across the organization to build analytics products that improve demand planning, supply chain performance, and operational decision-making. The role will work with ERP and MRP data, translate business needs into technical solutions, and develop scalable applications, visualizations, and automated workflows. Success means delivering reliable solutions that demonstrate business value and return on investment. • Develop and deploy analytics solutions using advanced Python and Snowflake SQL. • Integrate, transform, and analyze large relational datasets from ERP, MRP, and other enterprise sources. • Build interactive dashboards and analytics applications using Power BI, SIGMA, Streamlit, or similar tools. • Design and maintain Snowflake architectures and support migrations across development, test, and production environments. • Build cloud-native, containerized applications and services, including front ends, back ends, APIs, and service-account integrations. • Create GitHub workflows and CI/CD pipelines to automate the movement of Python and Snowflake code and data across environments. • Apply development practices such as test-driven development, validation, secure handling of credentials, and production rollback planning. • Translate business requirements into technical projects and explain technical issues in terms of business impact. • Work with manufacturing and supply chain processes, including order-to-cash, procure-to-pay, and demand-to-deliver. • Collaborate with cross-functional teams across geographies and communicate findings to technical teams, business partners, and executives. • Participate in Agile project work, including sprint planning and regular team check-ins. • Perform other work related tasks as assigned. • Comply with all NOV Company and HSE policies and procedures. • Three or more years of professional data analytics experience in manufacturing, supply chain, or a related environment. • At least three years of experience working with ERP or MRP data. • Advanced proficiency in Python and SQL, including hands-on experience with Snowflake. • Experience with Snowflake architecture and migrating code or data between environments. • Strong experience building dashboards or interactive analytics applications with Power BI, SIGMA, Streamlit, or similar tools. • Experience developing and deploying enterprise-scale solutions in cloud environments. • Proficiency with at least one data visualization library, such as Matplotlib, Seaborn, or Plotly. • Understanding of ERP and MRP data structures and manufacturing or supply chain workflows. • Demonstrated ability to deliver business impact and ROI through analytics. • Strong communication skills, including the ability to explain complex technical concepts to non-technical audiences and influence executive stakeholders. • Experience working with cross-functional teams across multiple geographies. NOV seeks a Data Analyst to develop and deploy advanced analytics solutions for manufacturing and supply chain operations. This hands-on role combines Python, Snowflake SQL, and interactive application development to turn enterprise data into measurable business impact.

Requirements

Must-haves

Develop and deploy analytics solutions using advanced Python and Snowflake SQL.
Integrate, transform, and analyze large relational datasets from ERP, MRP, and other enterprise sources.
Build interactive dashboards and analytics applications using Power BI, SIGMA, Streamlit, or similar tools.
Design and maintain Snowflake architectures and support migrations across development, test, and production environments.
Build cloud-native, containerized applications and services, including front ends, back ends, APIs, and service-account integrations.
Create GitHub workflows and CI/CD pipelines to automate the movement of Python and Snowflake code and data across environments.
Apply development practices such as test-driven development, validation, secure handling of credentials, and production rollback planning.
Translate business requirements into technical projects and explain technical issues in terms of business impact.
Work with manufacturing and supply chain processes, including order-to-cash, procure-to-pay, and demand-to-deliver.
Collaborate with cross-functional teams across geographies and communicate findings to technical teams, business partners, and executives.
Participate in Agile project work, including sprint planning and regular team check-ins.
Perform other work related tasks as assigned.
Comply with all NOV Company and HSE policies and procedures.
Three or more years of professional data analytics experience in manufacturing, supply chain, or a related environment.
At least three years of experience working with ERP or MRP data.
Advanced proficiency in Python and SQL, including hands-on experience with Snowflake.
Experience with Snowflake architecture and migrating code or data between environments.
Strong experience building dashboards or interactive analytics applications with Power BI, SIGMA, Streamlit, or similar tools.
Experience developing and deploying enterprise-scale solutions in cloud environments.
Proficiency with at least one data visualization library, such as Matplotlib, Seaborn, or Plotly.
Understanding of ERP and MRP data structures and manufacturing or supply chain workflows.
Demonstrated ability to deliver business impact and ROI through analytics.
Strong communication skills, including the ability to explain complex technical concepts to non-technical audiences and influence executive stakeholders.
Experience working with cross-functional teams across multiple geographies.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlci/cdagile

Platform: oracle-cloud
Effort: medium