Job Detail: Data Analyst / Data Scientist - Oil & Gas

Description:

• Fully remote position.
• Work directly with company leadership and co-founders.
• Significant autonomy and ownership.
• Opportunity to build the company's data platform from the ground up.
• Your work will directly influence the company's acquisition strategy and investment decisions.
• Lean, entrepreneurial environment with minimal bureaucracy.
• Opportunity to incorporate AI, machine learning, GIS, and advanced analytics into a growing investment platform.
• The systems and processes you build will ultimately support expansion into multiple counties and states.

• Consolidate and integrate large volumes of data from multiple internal and external sources.
• Build systems to organize and visualize land, ownership, title, lease, acquisition, production, and revenue data.
• Develop Spotfire dashboards and visualization tools to support investment and acquisition decisions.
• Clean, standardize, and reconcile inconsistent datasets, including owner names, legal descriptions, lease numbers, and other identifiers.
• Develop methods for fuzzy matching and entity resolution to identify relationships across disparate datasets.
• Analyze competitor and operator acquisition activity and develop tools to track buying programs.
• Build mapping and spatial-data capabilities, including GIS and shapefiles, where appropriate.
• Consolidate internal title information currently maintained across multiple spreadsheets and create a more efficient system for tracking title activity.
• Develop tools to connect acquisition activity, title information, negotiations, and portfolio data.
• Help create scalable platforms for tracking production, revenue, JIB and other portfolio-level information.
• Identify opportunities to automate manual processes and improve data quality and accessibility.
• Explore and implement AI / machine learning models where they can improve data matching, analysis, forecasting, or opportunity identification.
• Develop repeatable processes that can eventually be expanded into additional counties and geographic markets.
• Partner directly with company leadership to understand business needs and translate them into practical data solutions.

• Approximately ~2+ years of professional experience in data analytics, data science, data engineering, business intelligence, or a related field.
• Strong experience working with large, complex or disparate datasets.
• Spotfire experience is required.
• Strong SQL and/or Python skills.
• Experience with data visualization and dashboard development.
• Strong Excel skills and experience working with large datasets.
• Demonstrated ability to clean, organize, reconcile, and integrate data from multiple sources.
• Strong analytical and critical-thinking skills.
• Ability to work independently, take ownership of projects, and develop solutions with limited direction.
• Strong communication skills and ability to work directly with business and investment professionals.

• Oil & gas experience, particularly upstream, land, minerals, non-op, royalties, or A&D.
• GIS / spatial data experience.
• Experience working with shapefiles or mapping data.
• Experience with fuzzy matching, entity resolution, or natural-language processing.
• Machine learning or AI experience.
• Experience automating manual Excel-based processes.
• Experience working with ownership, title, lease, production, revenue, or county records.
• Experience integrating data from APIs, databases, public records, or third-party data providers.