Data Analyst Geotechnician

Key Responsibilities

• Geospatial Data Management
• Utilize ArcGIS Pro (ArcPro) to create, modify, and maintain well sticks, well paths, polygons, and other geospatial assets.
• Update geospatial classifications and inventory attributes, including determination of well ownership within specific DSUs, fairways, development areas, and other business classifications.
• Maintain and update well metadata such as:
• Well names
• Completion designs
• Artificial lift methods
• Development status and related attributes
• Ensure geospatial datasets remain accurate, current, and aligned with business requirements.
• Data Integration & Validation
• Gather, validate, and incorporate information (well surveys, production volume, completion data…) from various systems
• Perform quality assurance checks to ensure consistency between geospatial and operational datasets.
• Business & Technical Support
• Work closely with Geoscientists, Reservoir Engineers, and other stakeholders to provide custom datasets and analyses in support of business decisions.
• Respond to ad hoc requests for inventory and geospatial information, including identifying candidates for lateral extensions and other development opportunities.
• Participate in technical reviews, and strategy discussions to ensure inventory data accurately reflects approved development plans and gun barrel changes.
• Process Improvement & Cross-Functional Collaboration
• Represent the Delaware Business Unit in cross-functional and cross-organizational initiatives aimed at improving business processes, data management, and workflows.
• Promote adoption of standardized processes, tools, and best practices within the business unit.
• Identify opportunities to improve data quality, reporting efficiency, and workflow effectiveness.

Qualifications

• Required Qualifications
• Bachelor's degree in Data Analytics, Information Systems, or a related field; or equivalent relevant experience.
• Familiarity with ArcGIS Pro (ArcPro), geospatial concepts, and spatial data management, or demonstrated ability to learn these skills quickly.
• Familiarity with enterprise geodatabases (SDE) and geospatial data structures, or willingness to develop expertise on the job.
• Strong analytical and problem-solving skills.
• Ability to adapt to changing priorities and deliver critical data within tight timelines.
• Strong communication and collaboration skills with the ability to work effectively across multiple teams and organizations.
• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.
• Preferred Qualifications
• Knowledge of unconventional oil and gas development processes.
• Experience working with drilling, completions, production, or subsurface datasets.
• Exposure to Lean principles, continuous improvement methodologies, or process optimization initiatives.
• Interest in developing as a Lean practitioner and contributing to operational excellence efforts.