Crescent Energy is seeking a
Completions Engineering Analyst to support our Completions team through data-driven analysis, performance monitoring, and reporting. This role plays a key part in optimizing completion performance, improving operational efficiency, and supporting both near-term execution and longer-term planning.
The Completions Engineering Analyst will work closely with Completions Manager, Engineers and field operations, transforming completion data into actionable insights that support daily operations and continuous improvement initiatives.
What you'll do- Partner closely with Completions Engineers and field operations to support completion optimization and operational performance.
- Analyze completion data to develop dashboards, reports, and performance metrics that identify trends, risks, and improvement opportunities.
- Support completion planning and forecasting through historical data analysis and performance tracking.
- Monitor, track, and report key completion KPIs, including downtime, cost, and operational efficiency metrics.
- Prepare and distribute daily, weekly, and monthly completion performance summaries for engineering and leadership teams.
- Support root cause analyses, lookbacks, and continuous improvement initiatives by delivering timely, accurate, and actionable data insights.
Minimum Qualifications- Associate's or Bachelor's degree in Engineering (Petroleum, Mechanical, Chemical), Analytics, Business, or a related field.
- Strong analytical and problem-solving skills with exceptional attention to detail
- Proficiency in Microsoft Excel and experience with data visualization or reporting tools (e.g., Power BI, Spotfire).
- Strong communication skills with the ability to clearly present data and insights to both technical and non-technical stakeholders.
Preferred Qualifications- Experience supporting oil and gas completions or drilling engineering teams.
- Working knowledge of completions engineering concepts and workflows.
- Coding or automation experience (e.g., Python, SQL, VBA, or similar) to analyze large datasets, streamline workflows, or enhance reporting capabilities.
- Ability to manage multiple priorities in a fast-paced, collaborative environment.
