Land Data Analyst II/III/Sr.

At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross-functional collaboration, development opportunities, and career advancement. Join our Qrew! The Land Data Analyst II/III/Sr responsibilities include but are not limited to: Collaborate with employees in EQT’s Land Department (Division Order, Land Administration, Title, Owner Relations, Business Development, Land Acquisitions) to ensure support of Land Data Scientist efforts in advanced model and pipeline creation. Coordinate with internal BI/IT teams where needed to understand and implement table and code changes. Coordinate with EQT’s “STAQ” (Delivery) team where needed to prioritize and push changes to environments in Salesforce, data bricks, AI pipelines. Explore initial and existing processes and data tables for anomalies and patterns that can be improved. Support analytics initiatives requiring advanced scripting and analytical methods. Maintain and support analytical solutions using SQL. Conduct code reviews to ensure quality, performance, maintainability, and alignment with standards. Support Land Department with advanced analytical needs including and beyond standard BI reporting. Apply advanced statistical and analytical techniques to solve complex business problems. Clearly communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders. Generate daily and weekly reports, charts, and visualizations to communicate data insights to stakeholders and management. Work with Salesforce and EQT’s internal Salesforce department on recurring dataload and process initiatives.

Bachelor's Degree in Computer Science, Data Science, Mathematics, or another closely related field. 3+ years of coding experience.

Advanced SQL proficiency for implementing and optimizing analytical logic.

Proven experience delivering solutions in a BI environment.