Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,160 postings in the last year. Stated ranges, not salaries paid.
Data Analyst
Reads like a Data Engineer role: pipelines and data infrastructure.
Houston, TX, United States
Live, first seen by us 22 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and deploy analytics solutions using advanced Python and Snowflake SQL
Integrate and analyze large relational datasets from ERP, MRP and other sources
Build interactive dashboards and analytics applications in Power BI, SIGMA, Streamlit or similar
Design and maintain Snowflake architectures and support environment migrations
Create GitHub workflows and CI/CD pipelines to move Python and Snowflake code and data
From the employer’s posting
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.
Create GitHub workflows and CI/CD pipelines to automate the movement of Python and Snowflake code and data across environments.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202622 days ago
- Recorded sightings
- 100
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 22
Similar jobs usually come down between day 6 and day 54.
At NOV, jobs usually come down by about day 56.
From 11,511 similar postings that came down, and 13 of NOV’s. Coming down is not always a hire.
NOV is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Power BI
- Sigma
- Snowflake
- Matplotlib
- Plotly
- Streamlit
Where the posting names them
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 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on egay.fa.us6.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About NOV
- People
- About 11,339 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as NOV.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.