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Evening Geoscience Data Analyst Jobs (NOW HIRING)

Atlanta Regional

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 ...

Viridien

Head of Applied AI Products

Houston, TX · On-site

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

City of Boise

GIS Data Analyst

Boise, ID · On-site

$21.41 - $25.42/hr

Preferred Knowledge, Experience, And Training Bachelor's degree in GIS, geosciences, or related ... data analysis, programming, design and production of thematic applications, or similar in an ...

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

As of May 29, 2026, the average yearly pay for evening 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.
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Evening Geoscience Data Analyst jobs near you

Geoscience Data Analyst

Diamondbackenergy

Midland, TX

Full-time

Posted 22 hours ago

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.

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