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Key Responsibilities and Required Skills for a Geothermal Analyst

💰 $75,000 - $130,000

EnergyRenewable EnergyGeoscienceData AnalysisEngineering

🎯 Role Definition

A Geothermal Analyst is the analytical engine at the core of renewable energy exploration. This role serves as the critical link between raw earth science data and strategic business decisions, focusing on harnessing the planet's natural heat. You will be responsible for interpreting complex geological, geophysical, and geochemical datasets to model geothermal systems, assess resource viability, and guide drilling and development operations. By blending advanced technical expertise with a deep understanding of energy economics, the Geothermal Analyst plays an indispensable part in de-risking projects and unlocking the potential of sustainable, clean energy for the future.


📈 Career Progression

Typical Career Path

Entry Point From:

  • Junior Geoscientist or Geologist
  • Data Analyst (Energy or Resources sector)
  • Reservoir Engineering Intern or Graduate Engineer

Advancement To:

  • Senior Geothermal Analyst / Lead Geoscientist
  • Geothermal Resource Manager
  • Geothermal Project Manager

Lateral Moves:

  • Reservoir Engineer (Oil & Gas or Carbon Sequestration)
  • Energy Policy Analyst
  • Geospatial Data Scientist

Core Responsibilities

Primary Functions

  • Conduct detailed analysis and integration of diverse geological, geophysical, and geochemical data to build comprehensive conceptual models of geothermal systems.
  • Develop, calibrate, and run complex numerical reservoir simulations (e.g., using TOUGH2/3) to forecast reservoir performance, longevity, and energy output.
  • Interpret well-logging data, including temperature, pressure, and lithology logs, to characterize subsurface conditions and identify productive zones.
  • Perform rigorous volumetric and probabilistic resource assessments to estimate the potential power capacity and commercial viability of geothermal prospects.
  • Analyze well test data (e.g., pressure transient analysis) to determine key reservoir properties such as permeability, porosity, and boundary conditions.
  • Create and manage large, integrated geoscience databases, ensuring data quality, consistency, and accessibility for the wider technical team.
  • Utilize geospatial software (e.g., ArcGIS, QGIS) to perform spatial analysis, map key geological features, and identify optimal locations for exploration and drilling.
  • Monitor and analyze production and injection data from operating geothermal fields to optimize performance, diagnose issues, and guide field management strategies.
  • Evaluate the chemistry of geothermal fluids and gases to understand reservoir processes, assess scaling and corrosion risks, and monitor reservoir health.
    pr- Prepare detailed technical reports, compelling presentations, and data visualizations for internal stakeholders, executive leadership, and external partners.
  • Collaborate closely with drilling engineers, reservoir engineers, and project managers to develop well-targeting plans and field development strategies.
  • Conduct thorough risk assessments and uncertainty analyses (e.g., Monte Carlo simulations) for exploration and development projects to inform investment decisions.
  • Support due diligence activities for project financing, mergers, and acquisitions by providing expert technical evaluation of geothermal assets.
  • Stay abreast of cutting-edge technologies, methodologies, and research in geothermal science and reservoir engineering to drive continuous improvement.
  • Assist in the preparation of regulatory permits and environmental compliance documentation by providing necessary technical data and interpretations.
  • Integrate remote sensing data, including InSAR and thermal infrared imagery, into exploration workflows to identify surface expressions of geothermal activity.
  • Develop and script custom workflows for data processing, analysis, and visualization to enhance efficiency and repeatability of technical evaluations.
  • Provide crucial technical support during drilling and field operations, including real-time interpretation of incoming data to guide decision-making.
  • Model subsurface heat flow and fluid dynamics to understand the fundamental mechanisms governing the behavior of the geothermal system.
  • Participate in peer reviews and technical workshops, contributing constructive feedback and expertise to enhance the quality of the team's work.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis from various business units.
  • Contribute to the organization's long-term data strategy and the development of our technology roadmap.
  • Collaborate with business units to translate high-level data needs into specific, actionable engineering requirements.
  • Participate in sprint planning, retrospectives, and other agile ceremonies within the broader data and engineering teams.

Required Skills & Competencies

Hard Skills (Technical)

  • Geothermal Reservoir Modeling: Proficiency in developing conceptual and numerical models of geothermal systems, with hands-on experience using software like TOUGH2/3, FEFLOW, or similar.
  • Geospatial Analysis: Advanced skills in GIS software (ArcGIS Pro, QGIS) for mapping, spatial statistics, and integrating various layers of exploration data.
  • Well Log Interpretation: Expertise in analyzing a wide range of wireline and LWD logs to determine lithology, porosity, permeability, and fluid content.
  • Data Analysis & Programming: Strong ability to manipulate and analyze large datasets using Python (with libraries like Pandas, NumPy, SciPy) or R.
  • Reservoir Simulation: Experience with industry-standard reservoir simulation software such as Petrel, Eclipse, or CMG, particularly in adapting them for geothermal applications.
  • Geochemical Modeling: Familiarity with software like PHREEQC or Geochemist's Workbench for analyzing fluid-rock interactions, scaling, and corrosion potential.
  • Well Test Analysis: Competency in analyzing pressure transient and tracer test data using software like Saphir or custom analytical tools.
  • Geophysical Interpretation: Ability to interpret geophysical survey data, including seismic, gravity, magnetic, and magnetotelluric (MT) results.
  • Database Management: Experience working with SQL or NoSQL databases for querying and managing large, complex geoscience datasets.
  • Uncertainty Quantification: Knowledge of probabilistic methods and statistical techniques (e.g., Monte Carlo simulation) to assess project risk.

Soft Skills

  • Analytical & Critical Thinking: Superior ability to dissect complex problems, identify root causes, and evaluate solutions from a scientific and commercial perspective.
  • Effective Communication: Excellent verbal and written communication skills, with the ability to convey highly technical concepts to a non-technical audience.
  • Collaborative Spirit: A proactive team player who thrives in a multidisciplinary environment, working effectively with engineers, geologists, and business leaders.
  • Attention to Detail: Meticulous and thorough in data analysis, modeling, and reporting, ensuring accuracy and reliability of all technical work.
  • Problem-Solving: A resourceful and creative thinker who can develop innovative solutions to challenging subsurface and operational problems.
  • Adaptability: Ability to thrive in a fast-paced, evolving industry and quickly learn new software, techniques, and scientific concepts.
  • Project Management: Strong organizational skills to manage multiple tasks, prioritize effectively, and meet deadlines in a project-driven environment.

Education & Experience

Educational Background

Minimum Education:

A Bachelor of Science (B.S.) degree in a relevant technical field is required.

Preferred Education:

A Master of Science (M.S.) or Doctorate (Ph.D.) is highly preferred and often essential for roles involving advanced research and modeling.

Relevant Fields of Study:

  • Geology, Geophysics, or Earth Sciences
  • Petroleum, Reservoir, or Geological Engineering
  • Hydrogeology
  • Data Science or Applied Mathematics with a focus on geoscience

Experience Requirements

Typical Experience Range: 3-7 years of professional experience in subsurface analysis, reservoir engineering, or a closely related role.

Preferred: Direct experience within the geothermal energy sector is highly desirable. Relevant experience from the oil and gas industry, particularly in reservoir characterization and simulation, is also highly valued.