
Land Data Analyst
EQT
Completely RemoteFull TimeInformation Technology
Posted Today
Job description
Responsibilities
- Collaborate with EQT's Land Department to support advanced model and pipeline creation
- Coordinate with internal BI/IT teams to implement table and code changes
- Maintain and support analytical solutions using SQL
- Conduct code reviews to ensure quality, performance, and maintainability
- Apply advanced statistical and analytical techniques to solve complex business problems
- Generate reports, charts, and visualizations to communicate data insights to stakeholders
- Work with Salesforce on recurring dataload and process initiatives
Requirements
- Bachelor's Degree in Computer Science, Data Science, Mathematics, or a related field
- 3+ years of coding experience
- Advanced SQL proficiency for implementing and optimizing analytical logic
- Proven experience delivering solutions in a BI environment
- Experience defining and reviewing shared coding standards
- Strong cross-functional collaboration and communication skills
Preferred Qualifications
- Working knowledge of Databricks ecosystem, including Lakehouse architecture and Unity Catalog
- Familiarity with applied statistical learning and advanced analytics techniques
- Experience collaborating with Oil and Gas Land Departments
- Familiarity with CRM platforms, particularly Salesforce
- Exposure to cloud-based analytics platforms and modern data ecosystems
Skills & tools
SQLDatabricksSalesforceBIData Science
What the team is looking for
Use this list as a quick fit check before you apply.
- 01Bachelor's Degree in Computer Science, Data Science, or Mathematics
- 023+ years of coding experience
- 03Advanced SQL proficiency
- 04Experience delivering BI solutions
- 05Ability to refactor codebases
- 06Cross-functional collaboration skills
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EQT
Job details
- Work model
- Completely Remote
- Commitment
- Full Time
- Category
- Information Technology
- Posted
- Today
AdWake up to a shortlist, not a search results page.
NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matches