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Geospatial Analysis Jobs in California (NOW HIRING)

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$148K - $222K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

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Geospatial Analysis information

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$21.7K

$76.5K

$120.4K

How much do geospatial analysis jobs pay per year?

As of Sep 14, 2026, the average yearly pay for geospatial analysis in California is $76,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $79,000.00 per year, depending on experience, location, and employer.

What is geospatial analysis?

Geospatial analysis is the process of gathering, displaying, and interpreting data that has a geographic or spatial component. It involves using tools such as Geographic Information Systems (GIS) to analyze patterns, relationships, and trends related to locations on the earth's surface. Geospatial analysis is widely used in fields like urban planning, environmental management, logistics, and public health to make informed decisions based on spatial data. By visualizing and interpreting this data, organizations can better understand geographic patterns and solve complex problems.

What are the key skills and qualifications needed to thrive as a geospatial analyst, and why are they important?

To thrive as a Geospatial Analyst, you need strong analytical skills, geographic knowledge, and proficiency in GIS (Geographic Information Systems), typically supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, remote sensing software, and spatial databases, as well as certifications like GISP, are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you present complex spatial data clearly to stakeholders. These competencies are crucial for producing accurate spatial analyses that inform decision-making in fields like urban planning, environmental management, and logistics.

What are some common challenges faced by geospatial analysts when working with large and complex datasets?

Geospatial analysts often encounter challenges related to managing and processing large volumes of spatial data from various sources, which can lead to issues with data compatibility, accuracy, and processing speed. Ensuring data quality and integrating datasets with different projections or formats requires strong technical skills and attention to detail. Analysts also need to communicate their findings clearly to non-technical stakeholders, which involves translating complex spatial patterns into actionable insights for decision-making.

Is a geospatial analyst in demand?

Yes, geospatial analysts are in high demand across various industries such as urban planning, environmental management, and defense, due to the increasing reliance on geographic information systems (GIS) and spatial data analysis. The role often requires proficiency in GIS software, data visualization, and spatial data management, with job growth expected to continue as organizations prioritize location-based insights.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, often requires proficiency in tools like ArcGIS or QGIS, and can provide stable employment with competitive salaries. Overall, it is considered a viable and expanding career path for those interested in spatial data and technology.

What do you do as a geospatial analyst?

A geospatial analyst collects, analyzes, and interprets geographic data using GIS (Geographic Information Systems) software and spatial analysis tools. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Strong skills in data visualization, spatial data management, and knowledge of cartography are essential for this role.

What are the most commonly searched types of Geospatial Analysis jobs in California?

The most popular types of Geospatial Analysis jobs in California are:

What are popular job titles related to Geospatial Analysis jobs in California?

For Geospatial Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Geospatial Analysis jobs in California look for?

The top searched job categories for Geospatial Analysis jobs in California are:

What cities in California are hiring for Geospatial Analysis jobs?

Cities in California with the most Geospatial Analysis job openings:

Geospatial Analysis jobs near you
Infographic showing various Geospatial Analysis job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,480 per year, or $36.8 per hour.

Senior Analytics Engineer

Carlsbad, CA • On-site

Viasat, Inc.
Telecommunications • 5 - 10K employees
Learn more about Viasat, Inc.external

$148K - $222K/yr

Full-time

Re-posted 23 days ago

Viasat rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About us
One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging Direct-to-Device (D2D) markets. You'll translate executive-level business questions into scalable data pipelines and geospatial models, driving iterative cycles of data interpretation and assumption refinement. You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as importantly, help senior leadership understand what the data is (and isn't) telling them.
Reporting to the Director, Commercial Business Analytics, you'll operate at the intersection of business strategy and data engineering-close enough to executive stakeholders to shape the why behind the models, and close enough to engineering to ensure your work can be productionized and scaled. Your forecasting outputs feed directly into capacity feasibility analyses run by engineering teams, making the handoff relationship critical.
The day-to-day
  • Partner directly with business unit executives and C-level stakeholders to translate strategic forecasting needs into data models, proactively surfacing insights and challenging assumptions
  • Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools (Dagster, dbt, BigQuery)
  • Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies
  • Drive forecasting model expansion to new business units and services through configurable, testable code-often where no existing baseline exists
  • Independently validate model outputs, refine assumptions, and recommend adjustments to input parameters based on observed patterns and business feedback
  • Interpret and present forecasting outputs in business context to senior leadership-identifying where model results challenge assumptions, surfacing data quality risks, and advising on methodology changes
  • Evaluate and integrate 3rd-party industry data to assess total global vertical demand and model geographic distribution
  • Build data structures with engineering handoff in mind-balancing analytical flexibility with the conventions and standards that enable smooth transition to production systems
  • Document methodologies, assumptions, and maintain clear data lineage across all forecasting workstreams
  • Deliver regional and scenario-based demand projections that directly inform capacity planning decisions
  • Collaborate with engineering teams who consume forecasting outputs, ensuring data formats, assumptions, and methodologies are well-documented and aligned with downstream systems
  • Continuously evaluate existing forecasting processes and recommend improvements to enhance accuracy, scalability, and stakeholder confidence

What you'll need
  • Bachelor's degree in a quantitative field
  • 5-8 years of experience in analytics engineering, data engineering, or quantitative analysis
  • Demonstrated experience managing executive and cross-functional stakeholder relationships-translating complex analytical outputs into actionable business guidance
  • Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling)
  • Strong SQL and cloud data warehouse experience (BigQuery preferred)
  • Python proficiency with data engineering and analytical libraries (pandas, scipy, etc.)
  • Proven ability to structure ambiguous business problems into well-defined analytical frameworks
  • Experience building maintainable, scalable data pipelines with clear documentation and lineage
  • Strong written and verbal communication skills, including experience presenting to senior leadership
  • Comfort owning outcomes in fast-paced, evolving environments with minimal supervision

What will help you on the job
  • Master's degree or equivalent experience in a quantitative field
  • Experience transitioning analytical models into production infrastructure alongside engineering teams
  • Satellite or telecom industry experience
  • Hands-on experience with Dagster, Airflow, or dbt
  • Demand forecasting or capacity planning experience
  • Familiarity with spatial statistics, coverage modeling, or network planning tools

Salary range
$119,000.00 - $188,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $148,500.00- $222,500.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

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About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986

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