Data Analyst
NOV
Houston, TX · Posted October 16, 2026
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Where Houston, TX ranks
Where Houston, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for manufacturing and industrial jobs887 openings · of 100
- #1Best cities for energy and utilities jobs704 openings · of 27
- #1Cities hosting the most energy & utilities conferences11 conferences · of 15
- #2Cities with the most jobs that do not need a four-year degree in the Southwest481 jobs · of 38
- #2Best cities for software and engineering jobs in the Southwest1,018 openings · of 33
- #2Best all-round cities for mid-career professionals in the Southwest74 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 87 open data analyst listings that state pay, the middle half runs $78,000 to $112,500 and the median is $88,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.