Senior Upstream Data & Analytics Advisor

Diamondback Energy, Inc.; 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

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