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Volunteer Geoscience Data Analyst Jobs (NOW HIRING)

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Generous allotment of vacation days, sick days, and volunteer days Social Health * Matching gifts ...

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Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Geospatial Analysis & Mapping: Design and maintain spatial databases; produce thematic maps ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

Data Analyst

Los Angeles, CA · On-site

$71.45K - $75.21K/yr

VOALA Helping Our Most Vulnerable Change Their Life Stories Volunteers of America is a non-profit ... Conducts independent analysis reviewing data trends to develop improved automation in support of ...

This role involves defining technical directions for AI solutions, transforming geoscience data ... analysis, and information extraction capabilities. • Build entity resolution processes aligned ...

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How much do volunteer geoscience data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for volunteer geoscience data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Volunteer Geoscience Data Analyst, and why are they important?

To thrive as a Volunteer Geoscience Data Analyst, you need a solid understanding of geoscience concepts, data analysis, and proficiency in statistical or GIS software, typically supported by a relevant degree or coursework. Familiarity with tools like ArcGIS, QGIS, Python, and data management systems is common in the field. Attention to detail, critical thinking, and effective communication are standout soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data interpretation and meaningful contributions to scientific projects, supporting informed decision-making in geoscience initiatives.

What are some common challenges faced by Volunteer Geoscience Data Analysts, and how can they be addressed?

Volunteer Geoscience Data Analysts often encounter challenges such as working with incomplete or inconsistent datasets and adapting to varying data formats. Additionally, remote collaboration with multidisciplinary teams can require strong communication skills and effective use of digital collaboration tools. To address these challenges, it's important to develop proficiency in data cleaning techniques, stay organized with documentation, and proactively engage with team members to clarify project goals and data requirements. Embracing continuous learning and seeking feedback from more experienced analysts can also help you grow in the role.

What is a Volunteer Geoscience Data Analyst?

A Volunteer Geoscience Data Analyst is someone who offers their time and expertise to help collect, process, and interpret geoscience-related data, often for research institutions, non-profit organizations, or environmental projects. Their work may include analyzing geological, geophysical, or environmental datasets using specialized software and techniques. Volunteers in this role support scientific studies, contribute to data-driven decision-making, and often help present findings through reports, maps, or visualizations. This role is ideal for individuals looking to gain experience, contribute to science, or support causes related to earth sciences.
What cities are hiring for Volunteer Geoscience Data Analyst jobs? Cities with the most Volunteer Geoscience Data Analyst job openings:
What are the most commonly searched types of Geoscience Data Analyst jobs? The most popular types of Geoscience Data Analyst jobs are:
What states have the most Volunteer Geoscience Data Analyst jobs? States with the most job openings for Volunteer Geoscience Data Analyst jobs include:

Full-time

Posted yesterday


Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The Geoscience Data Analyst is a technically skilled, detail-oriented professional responsible for supporting database management, maintenance, and data integrity. This role blends traditional geotechnical support with data science responsibilities, including coding and query development and building and maintaining technical tools to streamline workflows and strengthen data-driven decision-making.


Job Responsibilities:

Include but are not limited to

  • Manage and maintain geoscience databases (e.g., Petra, Kingdom, Snowflake) to ensure accurate, reliable, and accessible data for multidisciplinary teams
  • Compile, clean, and standardize large geological datasets from internal and external sources
  • Design and document workflows for efficient data loading, editing, QC, and extraction within subsurface interpretation platforms
  • Integrate and maintain subsurface datasets in ArcGIS to provide accurate geospatial products and support
  • Develop and maintain Spotfire dashboards and supporting data pipelines to visualize and analyze geological datasets
  • Partner with geoscientists to build custom analyses and workflows that surface trends and enable data-driven decisions
  • Develop and enhance scripts and tools (e.g., Python, SQL) to automate data ingestion and QC, improve visualizations, and streamline routine tasks
  • Support operations geoscientists with real-time data updates and QA/QC to help answer questions related to drilling optimization

Required Qualifications:

  • Associate or bachelor's degree in Geoscience or related field
  • Minimum of 2 years of experience in engineering or geology related analytics
  • Experience handling complex and high-volume geological datasets
  • Familiarity with at least one programming or scripting language (e.g., Python, SQL)
  • Exposure geoscience software (e.g., Petra, Kingdom, StarSteer) or similar subsurface interpretation platforms
  • Experience with Snowflake and maintaining data pipelines
  • Strong working knowledge of TIBCO Spotfire and associated applications

Preferred Qualifications:

  • Background in Petroleum Engineering
  • Strong organizational skills, attention to detail, and problem-solving ability

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.