The Role
Develops scalable analytics products using Python, Snowflake SQL, Power BI, Streamlit, and related tools. Integrates ERP and MRP data, builds dashboards and cloud-native applications, maintains Snowflake environments, and automates deployments through GitHub workflows and CI/CD. Partners with manufacturing, supply chain, and cross-functional teams to translate business needs into technical solutions, improve operational decision-making, and demonstrate measurable business value.
Summary Generated by Built In
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.
Responsibilities- 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.
Skills Required
- 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 explaining complex technical concepts to non-technical audiences and influencing executive stakeholders.
- Experience working with cross-functional teams across multiple geographies.
NOV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NOV and has not been reviewed or approved by NOV.
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Healthcare Strength — Company materials describe comprehensive medical, dental, and vision coverage alongside life/disability insurance, a global EAP, wellness resources, and paid parental leave; the company also states it pays most U.S. health plan premiums, which bolsters perceived value.
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Retirement Support — The 401(k) program features auto‑enrollment, immediate vesting, and ongoing employer contributions; historical filings and comments point to a generally well‑regarded match even as exact formulas can change.
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Leave & Time Off Breadth — Paid parental leave and widely cited decent PTO at hire are complemented by options like experience‑based vacation credit and a flexible holiday, creating a rounded time‑off offering in many U.S. roles.
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The Company
What We Do
NOV delivers technology-driven solutions to empower the global energy industry. For more than 150 years, NOV has pioneered innovations that enable its customers to safely produce abundant energy while minimizing environmental impact. The energy industry depends on NOV’s deep expertise and technology to continually improve oilfield operations and assist in efforts to advance the energy transition towards a more sustainable future. NOV powers the industry that powers the world.
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