Reservoir Data Analyst

Crescent Energy • Houston, TX

16d

About The Position

Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory. Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent’s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise. For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet. We are looking for a Reservoir Data Analyst and/or Scientist to join our new Optimization and Growth team. Your work scope will be wide ranging from building and managing data pipelines to advancing data automation, analysis, AI, and machine learning at the company. You will have the opportunity to work with and impact various groups from field operations to engineering. Overall, the role will strive to set the company up for success by providing access to accurate/reliable data, automating workflows, and advancing analysis with leading edge data analytics methods.

Requirements

• Ability to work and problem solve independently with limited guidance
• Maintain data flows in SQL and Snowflake environments
• Advanced Spotfire (or PowerBI) and MS Office Experience
• Ability to work in a fast-paced multi-disciplinary environment balancing changes in priority and scope of projects
• Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field

Nice To Haves

• Knowledge of data analytics methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks
• Time series forecasting and anomaly detection
• Understanding of programming languages such as Python, R, or similar
• Experience in ARIES, SQL and Access database management

Responsibilities

• Collaborate with engineers and IT to continuously improve data integrity and accessibility across production, wellbore, well attributes, and artificial lift data
• Maintain data flows into key software, ensuring data integrity
• Develop dashboards with engineers to trial new ways of tracking and visualizing data to optimize well performance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees