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Subsurface Data Analyst Jobs (NOW HIRING)

Blood Hound's Geospatial Division is leading the evolution of utility mapping and subsurface data ... This role is ideal for someone who enjoys data analysis, mapping workflows, and precision quality ...

Blood Hound's Geospatial Division is leading the evolution of utility mapping and subsurface data ... This role is ideal for someone who enjoys data analysis, mapping workflows, and precision quality ...

Position Description The Subsurface Analyst will join a highly trained team of field specialists ... Collect and analyze field data to designate structural embeds including rebar, conduits, post ...

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Subsurface Data Analyst information

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$34K

$82.6K

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How much do subsurface data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for subsurface 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 is a subsurface data analyst?

A Subsurface Data Analyst collects, processes, and interprets geological and geophysical data to support exploration and production activities in industries like oil and gas, mining, and environmental science. They work with datasets from sources such as seismic surveys, well logs, and geological models to identify patterns, assess subsurface conditions, and improve decision-making. This role requires expertise in data management, visualization, and analytics tools to ensure accurate and efficient use of subsurface information.

What does a subsurface data analyst do?

On a typical day, a Subsurface Data Analyst gathers and processes geological, geophysical, or petrophysical data to help evaluate subsurface conditions and identify potential resource opportunities. They use specialized software to interpret seismic data, generate subsurface maps or models, and contribute technical findings to multidisciplinary teams. The role often involves preparing reports or data visualizations and participating in project meetings to support engineers, geoscientists, or drilling specialists. Analysts may also be responsible for quality control of incoming data and recommending improvements in data acquisition or interpretation techniques.

What skills and qualifications are needed to be a subsurface data analyst?

To thrive as a Subsurface Data Analyst, you need a solid background in geology, geophysics, or petroleum engineering, with proficiency in data analysis and interpretation related to subsurface environments. Expertise with technical tools such as Petrel, Kingdom, or Geoteric software, along with experience in handling large datasets, and certifications like GISP or relevant industry training, is highly valued. Strong problem-solving skills, attention to detail, and effective communication abilities set outstanding analysts apart. These skills ensure accurate data-driven insights that are vital for resource evaluation and successful collaboration within multidisciplinary energy or environmental teams.

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What cities are hiring for Subsurface Data Analyst jobs?

Cities with the most Subsurface Data Analyst job openings:

What states have the most Subsurface Data Analyst jobs?

States with the most job openings for Subsurface Data Analyst jobs include:

Infographic showing various Subsurface Data Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Geospatial Data Specialist

Blood Hound, LLC

Zionsville, IN • On-site

$25/hr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Compensation
$25.00 Hourly
Job Description
Location: Zionsville IN
*Hybrid options potentially in the future
Company Overview
The law requires you to call 811 to have public utilities marked before you dig. However, public utilities will only locate the facilities they own - electric, gas, oil, sewer, telephone, and water. The vast majority of underground utilities are privately owned, which is why you need to make Blood Hound your second call.
Blood Hound locates ALL underground utilities and structures and offer a range of highly specialized subsurface utility services to significantly reduce your risk of costly damages and project delays and mitigate safety hazards for your crews and community.
Blood Hound's Geospatial Division is leading the evolution of utility mapping and subsurface data collection. Our work combines Multi-Channel GPR, UAS LiDAR, mobile scanning, and advanced GIS tools to deliver high-resolution 2D and 3D mapping data for engineering and construction clients nationwide.
Summary
Blood Hound is seeking a detail-oriented and technically skilled Geospatial Data Processing Specialist to join our expanding Geospatial Division. This role is focused on transforming raw sensor data-GPR, LiDAR, GNSS, and UAS imagery-into precise, client-ready deliverables that power engineering, design, and construction decisions.
You'll work closely with our Geospatial Systems Supervisor, CAD and GIS teams, and field crews to ensure that data captured in the field is processed, organized, and delivered with the highest accuracy and consistency.
This role is ideal for someone who enjoys data analysis, mapping workflows, and precision quality control across a wide variety of datasets and software platforms.
Responsibilities
  • Process and organize geospatial datasets from multiple sensors including LiDAR, GPR, GNSS, and photogrammetry.
  • Perform QA/QC checks to ensure alignment, completeness, and consistency across all collected data.
  • Convert and clean datasets for import into CAD, GIS, and BIM environments (Civil 3D, QGIS, Revit, etc.).
  • Generate 2D and 3D outputs such as shapefiles, DWGs, KMLs, and surfaces/TINs.
  • Standardize naming conventions, coordinate systems, and metadata across project deliverables.
  • Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and automation.
  • Support the creation and maintenance of libraries, templates, and standard processing documentation.
  • Ensure data is properly archived and backed up according to company protocols.
  • Communicate regularly with field teams to clarify data collection parameters and resolve inconsistencies.
  • Provide feedback to technicians and supervisors to enhance data capture quality and efficiency.
  • Support managers and CAD/GIS staff with organized and verified datasets ready for drafting or analysis.

Requirements
  • 1+ years of experience in geospatial data processing, remote sensing, or GIS/CAD production.
  • Proficiency with AutoCAD Civil 3D, QGIS, or similar mapping software.
  • Familiarity with LiDAR, photogrammetry, or GPR data formats and workflows preferred.
  • Understanding of coordinate systems, datums, and transformations.
  • Strong organizational skills and attention to detail.
  • Experience with data QA/QC or file standardization.
  • Bachelor's degree in Geography, Geomatics, Engineering Technology, or related field preferred (or equivalent experience).
  • Comfortable learning new processing tools and adapting to evolving technology.

We are an Equal Opportunity Employer. Veterans are encouraged to apply.