Data & Analytics Advisor - Operations
At a glance
Mid-level Data Analysis & BI role at Diamondback Energy. Midland · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.
Diamondback Energy 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
- Run the reporting pipeline from source-system data through Snowflake models to finished operations dashboards
- Replace spreadsheet reporting with tuned SQL models and automated Python workflows
- Build reusable Spotfire or Power BI dashboards, plus Streamlit tools for field and office users
- Maintain reporting across production, well, operations and SCADA systems, and align KPI definitions with partner teams
- Set development and documentation practices, then share findings and recommendations with Operations leaders
What you bring
- A degree in engineering, computer science, data analytics or a related area, or equivalent professional experience
- At least seven years in data reporting or analytics, including substantial support for upstream oil and gas operations
- Advanced SQL, cloud data warehouse modeling, and strong Spotfire or Power BI dashboard skills
- Python automation experience and the ability to deploy analytical web apps, with upstream systems and workflows knowledge
Who this fits
This senior individual-contributor role suits someone who can independently deliver analytics work and connect operational data with field decisions. You’ll work with Drilling, Completions, Production, Production Accounting, Operations, Engineering and Operations Technology, and present recommendations to Operations leadership. The role is based in Midland, Texas.
From the employer
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.
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