Job Summary
The Senior Data Analyst – Reservoir Engineering is primarily responsible for executing projects to streamline processes and produce data-driven insights to support the Resource Development engineering team and other stakeholders across the organization. A successful candidate will actively seek and generate new and innovative ways to retrieve, visualize, and analyze data across a variety of operational, geologic and financial data sources.
Duties and Responsibilities
- Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
- Discovers and troubleshoots data issues across sources and drives issues to resolution.
- Mentors and trains junior staff; creates training content and executes across the team, department, and company.
- Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
- Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
- Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
- Performs data capture processes as necessary to support analytics efforts.
- Other duties as assigned.
Skills and Competencies
- Strong understanding of E&P operations, with in-depth knowledge of reservoir engineering concepts, geoscience data, and business development projects.
- Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.
- Understands the data models of Continental’s primary data sources including Aries, WellView, SiteView, ProCount, Planning Analytics, eGIS, WLM, S&P Global, and Enverus.
- Detail oriented with ability to retrieve, organize, and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.
- Advanced skills with data & analytics applications.
- Advanced knowledge of data modeling and data integration principles and techniques.
- Advanced programming skills capable of using all available techniques.
- Flexible and adaptable, quickly adjust to process changes and shifting priorities.
Required Qualifications
- High School Diploma or GED.
- Minimum of eight (8) years of experience within the oil and