Senior Data Analyst - Reservoir Engineering

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.

• 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.

• 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.

• High School Diploma or GED.
• Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
• Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
• Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR’s data warehouse.
• Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.

• Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
• Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
• Advanced coding skills in R or Python