Upstream Data Analyst

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Full Time

26 days ago Requisition

Petro-Hunt, L.L.C., a Dallas, Texas mid-sized independent Oil and Gas Exploration Company, is seeking an Upstream Data Analyst for its Denver, Colorado office.

Petro-Hunt, L.L.C. is a privately held independent oil and gas company headquartered in Dallas, Texas. Owned and operated by the William Herbert Hunt family, Petro-Hunt and its affiliates are actively engaged in various industries with a primary focus in the oil and gas industry.

Our company traces its roots to the 1920s, when the legendary H.L. Hunt entered the oil and gas business in El Dorado, Arkansas, and later played an active role in developing the East Texas Oil Field from the drill test of the Daisy Bradford #3.

Today, Petro-Hunt is a Top 10 Private Liquids Producer in the U.S. with operations in six states. We are more than just an oil and gas company — Petro-Hunt actively purchases minerals and royalties, owns and operates a gas processing facility, is part owner of an oil refinery, actively invests in real estate development, and operates a private equity alternative investment division.

Our Denver office generates and consumes a large amount of data — well logs and subsurface interpretations, daily drilling and completion reports, and production and operations history — and much of it lives in separate systems that do not talk to each other. The Upstream Data Analyst exists to close that gap.

This is a hands‑on, analyst‑leaning role for someone who is equally comfortable writing a query, wiring two databases together, and presenting a chart that changes a decision. You will pull data from across the drilling, completions, production, and geoscience domains, reconcile it into something trustworthy, and turn it into analysis that geologists, engineers, and management actually use. Just as importantly, you will look for the parts of that work that should not be done by hand twice and automate them — increasingly with the help of AI tooling.

We are looking for curiosity and technical range for this position. If you want to avoid doing repetitive tasks and look forward to digging into the data and databases and creating workflows to answer complex questions, we would like to talk to you.

• Connect and reconcile data across disparate upstream systems — drilling and completions reporting (e.g., Well View, Corva), production and operations databases (e.g., P2 Carte), geoscience projects (e.g., Kingdom Suite, Geo Graphix), commercial data vendors (e.g., Enverus, S&P), state regulatory databases, and internal accounting and land systems.
• Build and maintain repeatable pipelines that move data between these systems so analysis starts from one trusted source rather than a fresh export.
• Migrate and synchronize data between geoscience platforms, corporate databases, and vendor exports, preserving data integrity and auditability along the way.
• Resolve the identity problems that make upstream data hard: API number formats, well and completion naming conventions, wellbore vs. producing‑entity relationships, and unit and datum inconsistencies.

• Answer real business questions with data — well performance benchmarking, decline behavior as related to geologic variations, and offset operator activity.
• Build dashboards, recurring reports, and one‑off analyses for geoscience and management audiences.
• Present findings clearly to technical and non‑technical staff, including the assumptions and data limitations behind them.

• Identify manual, repetitive workflows across the office and replace them with scripted or automated processes.
• Apply AI tools — large language models, coding assistants, and data analysis assistants — to accelerate development and deal evaluation, extract information from unstructured sources such as scanned reports and PDFs, and shorten the path from question to answer.
• Evaluate new tooling pragmatically and help the office…