Data Analyst
At a glance
Mid-level Data Analysis & BI role at NOV. Houston · full-time · no salary stated · we estimate $72,358–$116,125.
NOV has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build Python and Snowflake SQL analytics for demand planning, supply chain performance and operational decisions
- Transform ERP, MRP and other enterprise data, then create dashboards and interactive analytics applications
- Maintain Snowflake environments and move code and data across development, test and production
- Create cloud-based applications, APIs and automated GitHub workflows for deploying analytics solutions
- Turn business needs into technical projects, explain their business impact and share findings with varied teams
What you bring
- At least three years in data analytics in manufacturing, supply chain or a related setting, including ERP or MRP data
- Advanced Python and SQL skills, with practical Snowflake work and experience moving solutions between environments
- Experience delivering cloud-based enterprise solutions and building dashboards with Power BI, SIGMA, Streamlit or similar tools
- Proficiency in a visualization library such as Matplotlib, Seaborn or Plotly, plus familiarity with manufacturing or supply chain workflows
Who this fits
This mid-level role suits someone who can connect analytics development with manufacturing and supply chain operations, and explain technical findings to business and executive audiences. The position is based onsite in Houston.
From the employer
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.