Remote Geoscience Data Analyst

Placements24

Willows (CA)

Hybrid

USD 100,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Home office stipend
Health insurance
Generous paid time off
Online training resources

Job summary

Placements24 is seeking a Geoscience Data Analyst to join a fully remote team supporting exploration and production decisions across multiple locations, including Welkom assets. You will process, analyze, and interpret large geoscience datasets, collaborating with geoscientists and engineers worldwide from your chosen location.

Ideal candidates bring 5+ years in oil and gas data analysis, strong Python/R skills, and experience with Petrel/Kingdom/OpendTect, SQL, and cloud data platforms.

Qualifications

  • Minimum of 5 years of experience as a Data Analyst or similar role within the oil and gas sector, focusing on geoscience data.
  • Proficiency in geological and geophysical software packages (Petrel, Kingdom Suite, OpendTect).
  • Strong programming skills in Python or R for data analysis and scripting.
  • Experience with database management (SQL, NoSQL) and cloud-based data platforms.
  • Excellent analytical, problem-solving, and communication skills suitable for a remote work environment.

Responsibilities

  • Process, validate, and manage large geological and geophysical datasets using specialized software.
  • Perform data quality control and ensure the integrity of all incoming data streams.
  • Develop and implement automated workflows for data processing and analysis.
  • Generate insightful visualizations and reports to communicate complex geological information.
  • Collaborate virtually with geologists, geophysicists, and reservoir engineers on subsurface interpretation projects.
  • Stay abreast of new technologies and methodologies in geoscience data analysis.

Skills

Python
R
SQL
NoSQL
Data visualization
Remote collaboration
Geoscience data

Tools

Petrel
Kingdom Suite
OpendTect

Job description

Our client is looking for a skilled Geoscience Data Analyst to join their fully remote team, supporting operations that span across various locations, including our Welkom assets. In this role, you will be instrumental in processing, analyzing, and interpreting vast amounts of geological and geophysical data to support exploration and production decisions. You will work independently from your chosen location, collaborating digitally with geoscientists and engineers worldwide. This is an exceptional opportunity to leverage advanced data analytics techniques in the oil and gas industry without the need for relocation or on-site presence, contributing directly to critical subsurface understanding.

Key Responsibilities
  • Process, validate, and manage large geological and geophysical datasets using specialized software.
  • Perform data quality control and ensure the integrity of all incoming data streams.
  • Develop and implement automated workflows for data processing and analysis.
  • Generate insightful visualizations and reports to communicate complex geological information.
  • Collaborate virtually with geologists, geophysicists, and reservoir engineers on subsurface interpretation projects.
  • Stay abreast of new technologies and methodologies in geoscience data analysis .
Requirements
  • Minimum of 5 years of experience as a Data Analyst or similar role within the oil and gas sector, focusing on geoscience data.
  • Proficiency in geological and geophysical software packages (e.g., Petrel, Kingdom Suite, OpendTect).
  • Strong programming skills in Python or R for data analysis and scripting.
  • Experience with database management (SQL, NoSQL) and cloud-based data platforms.
  • Excellent analytical, problem-solving, and communication skills suitable for a remote work environment.
Benefits
  • Competitive salary commensurate with experience.
  • Flexible remote work arrangements with a home office stipend.
  • Comprehensive health insurance coverage.
  • Generous paid time off and company holidays.
  • Access to online training and professional development resources.
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