Data & Analytics Advisor - Operations

Diamondback Energy; Michigan; On-site; USD 120,000 - 180,000; Full time

Job summary

Diamondback Energy, Inc. seeks a senior Advisor, Operations Data & Analytics to translate upstream data into actionable decisions.

You will own the analytics stack used by Drilling, Completions, Production, and Production Accounting, from Snowflake models to dashboards and Streamlit apps deployed in the field. The role requires deep upstream oil & gas fluency, advanced data engineering, and visualization skills, with responsibility for defining KPI definitions and implementing standardized

Qualifications

• 7+ years in data reporting or analytics for upstream oil & gas operations.
• Strong SQL including window functions, CTEs, performance tuning.
• Experience building data models in a cloud data warehouse (Snowflake preferred).
• Proficiency in Spotfire/Power BI dashboards for field and executive audiences.

Responsibilities

• Own end-to-end reporting stack for Upstream Operations from ingestion to dashboard.
• Develop and optimize Snowflake data models, SQL, and automated Python workflows.
• Build and administer Spotfire/Power BI content with reusable datasets and templates.
• Develop and deploy Streamlit apps for analytics and field/office users.
• Integrate data from ProCount, WellView, SiteView, Actenum, Ignition, XSPOC, and SCADA sources.
• Collaborate with Operations, Engineering, and OT to scope needs and define KPI data definitions.
• Define development standards and present findings to Operations leadership.

Skills

SQL proficiency

Data analytics

Python for analytics

Dashboard storytelling

Education

Bachelor's degree in Engineering, Computer Science, Data Analytics, or related field

Tools

Snowflake

Spotfire

Power BI

Streamlit

Job description

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

• 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 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.