Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Data & Analytics Advisor - Operations
Midland, TX
Live, first seen by us 16 days ago- Pay
- Pay not listedSimilar roles state $95K–$144K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Diamondback Energy is not currently sponsoring employment visas for this postion.
What you’ll work on
Full postingOwn the reporting stack from source-system ingestion through Snowflake models to dashboards
Build Snowflake data models, SQL, and Python workflows to replace manual reporting
Build Spotfire or Power BI dashboards and reusable datasets for self-service
Develop and deploy Streamlit apps for field and office users
Build and maintain reporting against ProCount, WellView, SiteView, and SCADA data
From the employer’s posting
Own the end-to-end reporting stack for Upstream Operations, from source-system ingestion through curated Snowflake models to the final dashboard.
Develop and optimize Snowflake data models, SQL, and automated Python workflows, replacing manual and spreadsheet-based reporting.
Build and administer advanced Spotfire and/or Power BI content, including reusable datasets and templates that enable self-service.
Develop and deploy Streamlit applications that put analytics and operational tools directly in the hands of field and office users.
Build and maintain reporting against ProCount, WellView, SiteView, Actenum, Ignition, XSPOC, and SCADA/historian platforms.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related field — or equivalent professional experience.
- Deep familiarity with upstream workflows and data from ProCount, WellView, SiteView, and SCADA sources.
- Ability to independently scope, prioritize, and deliver projects with limited direction.
Preferred experience
- Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred.
- Hands-on experience with upstream operational applications and their underlying data structures.
- Strong Python for analysis and automation, and demonstrated ability to deploy analytical web applications — Streamlit preferred.
Qualification wording
Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related field — or equivalent professional experience.
Deep familiarity with upstream workflows and data from ProCount, WellView, SiteView, and SCADA sources.
Ability to independently scope, prioritize, and deliver projects with limited direction.
Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred.
Hands-on experience with upstream operational applications and their underlying data structures.
Strong Python for analysis and automation, and demonstrated ability to deploy analytical web applications — Streamlit preferred.
Education & alternatives
Required Qualifications: - Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related field — or equivalent professional experience. - Seven (7+) or more years in data reporting or analytics, including significant experience supporting upstream oil & gas operations.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 20, 202616 days ago
- Recorded sightings
- 17
- Last seen by us
- Nov 5, 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 16
Similar jobs usually come down between day 5 and day 41.
At Diamondback, jobs usually come down by about day 24.
From 10,965 similar postings that came down, and 5 of Diamondback’s. Coming down is not always a hire.
Diamondback is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 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
- Snowflake
- Streamlit
Where the posting names them
- Own the end-to-end reporting stack for Upstream Operations, from source-system ingestion through curated Snowflake models to the final dashboard. - Develop and optimize Snowflake data models, SQL, and automated Python workflows, replacing manual and spreadsheet-based reporting. - Build and administer advanced Spotfire and/or Power BI content, including reusable datasets and templates that enable self-service.
- Expert-level proficiency in Spotfire and/or Power BI, building dashboards for field and executive audiences. - Strong Python for analysis and automation, and demonstrated ability to deploy analytical web applications — Streamlit preferred. - Deep familiarity with upstream workflows and data from ProCount, WellView, SiteView, and SCADA sources.
- Hands-on experience with upstream operational applications and their underlying data structures. - Effective use of AI coding assistants to accelerate SQL, Python, and dashboard development, including judgment about when generated code requires review and validation. Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.
- Seven (7+) or more years in data reporting or analytics, including significant experience supporting upstream oil & gas operations. - Expert-level SQL, including window functions, CTEs, and query performance tuning against large datasets. - Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred.
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. The Advisor, Operations Data & Analytics is a senior individual contributor and strategic partner to Upstream Operations, turning operational and production data into decisions that improve field performance and efficiency. This role owns the analytics stack used daily by Drilling, Completions, Production, and Production Accounting — from Snowflake data models through Spotfire and/or Power BI dashboards to Streamlit applications deployed in the field. The ideal candidate pairs deep upstream oil & gas fluency with strong data engineering and visualization skills. Job Duties and Responsibilities:
- Develop and optimize Snowflake data models, SQL, and automated Python workflows, replacing manual and spreadsheet-based reporting. - Build and administer advanced Spotfire and/or Power BI content, including reusable datasets and templates that enable self-service. - Develop and deploy Streamlit applications that put analytics and operational tools directly in the hands of field and office users.
- Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred. - Expert-level proficiency in Spotfire and/or Power BI, building dashboards for field and executive audiences. - Strong Python for analysis and automation, and demonstrated ability to deploy analytical web applications — Streamlit preferred.
Include but are not limited to: - Own the end-to-end reporting stack for Upstream Operations, from source-system ingestion through curated Snowflake models to the final dashboard. - Develop and optimize Snowflake data models, SQL, and automated Python workflows, replacing manual and spreadsheet-based reporting.
- Expert-level SQL, including window functions, CTEs, and query performance tuning against large datasets. - Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred. - Expert-level proficiency in Spotfire and/or Power BI, building dashboards for field and executive audiences.
Preferred Qualifications: - Streamlit in Snowflake, Snowpark, and Snowflake tasks, streams, or dynamic tables. - Hands-on experience with upstream operational applications and their underlying data structures.
- Build and administer advanced Spotfire and/or Power BI content, including reusable datasets and templates that enable self-service. - Develop and deploy Streamlit applications that put analytics and operational tools directly in the hands of field and office users. - Build and maintain reporting against ProCount, WellView, SiteView, Actenum, Ignition, XSPOC, and SCADA/historian platforms.
Your next step
Complete your application on diamondbackenergy.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Diamondback
- People
- About 1,762 in 2025, down 11% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as FANG.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% 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 Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
The Advisor, Operations Data & Analytics is a senior individual contributor and strategic partner to Upstream Operations, turning operational and production data into decisions that improve field performance and efficiency. This role owns the analytics stack used daily by Drilling, Completions, Production, and Production Accounting — from Snowflake data models through Spotfire and/or Power BI dashboards to Streamlit applications deployed in the field. The ideal candidate pairs deep upstream oil & gas fluency with strong data engineering and visualization skills.
Job Duties and Responsibilities:
Include but are not limited to:
- Own the end-to-end reporting stack for Upstream Operations, from source-system ingestion through curated Snowflake models to the final dashboard.
- Develop and optimize Snowflake data models, SQL, and automated Python workflows, replacing manual and spreadsheet-based reporting.
- Build and administer advanced Spotfire and/or Power BI content, including reusable datasets and templates that enable self-service.
- Develop and deploy Streamlit applications that put analytics and operational tools directly in the hands of field and office users.
- Build and maintain reporting against ProCount, WellView, SiteView, Actenum, Ignition, XSPOC, and SCADA/historian platforms.
- Partner with Operations, Engineering, and Operations Technology to scope business needs, prioritize requests, and steward consistent KPI and data definitions.
- Define development and documentation standards, and present findings and recommendations to Operations leadership.
Required Qualifications:
- Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related field — or equivalent professional experience.
- Seven (7+) or more years in data reporting or analytics, including significant experience supporting upstream oil & gas operations.
- Expert-level SQL, including window functions, CTEs, and query performance tuning against large datasets.
- Hands-on experience building data models in a cloud data warehouse — Snowflake strongly preferred.
- Expert-level proficiency in Spotfire and/or Power BI, building dashboards for field and executive audiences.
- Strong Python for analysis and automation, and demonstrated ability to deploy analytical web applications — Streamlit preferred.
- Deep familiarity with upstream workflows and data from ProCount, WellView, SiteView, and SCADA sources.
- Ability to independently scope, prioritize, and deliver projects with limited direction.
Preferred Qualifications:
- Streamlit in Snowflake, Snowpark, and Snowflake tasks, streams, or dynamic tables.
- Hands-on experience with upstream operational applications and their underlying data structures.
- Effective use of AI coding assistants to accelerate SQL, Python, and dashboard development, including judgment about when generated code requires review and validation.
Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Midland, TX
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.