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Analytical Engineer Jobs in California (NOW HIRING)

Oklo

Shielding Analysis Engineer

Santa Clara, CA · On-site +1

Position Description The Shielding Analysis Engineer is responsible for defining, developing, and executing radiation shielding and radiation transport analyses to support reactor design, plant ...

Prosum Inc.

Senior BI / Analytics Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Strong analytical, troubleshooting, and communication skills Preferred Qualifications * Experience with Python, C#, or other programming languages * Exposure to Azure data services, Functions, or API ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$188K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$148K - $222K/yr

You'll turn ambiguous forecasting challenges into production-quality analytical tools--and just as ... Collaborate with engineering teams who consume forecasting outputs, ensuring data formats ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as ...

GEICO

Staff Analytics Engineer - Product

Palo Alto, CA · On-site

$115K - $230K/yr

GEICO is looking for a Staff Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data ...

Hyve Solutions

Failure Analysis Engineer

Fremont, CA · On-site

$142K - $169K/yr

Position Summary We are seeking a highly analytical Failure Analysis Engineer to support the investigation of hardware failures in rack systems, server platforms, and data center infrastructure ...

Geico

Staff Analytics Engineer - Product

Palo Alto, CA

$115K - $230K/yr

GEICO is looking for a Staff Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data ...

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All JobsAnalytical Engineer JobsAnalytical Engineer Jobs in California

Analytical Engineer information

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How much do analytical engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for analytical engineer in California is $100,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $115,000.00 per year, depending on experience, location, and employer.

What is an analytical engineer?

Analytical Engineers are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex engineering problems. They often work on developing models, simulations, and analytical tools to improve product design, optimize processes, or predict system behaviors. Their role bridges the gap between data analysis and traditional engineering, enabling more data-driven decision making within engineering projects.

How does an analytical engineer typically collaborate with cross-functional teams during a project?

Analytical Engineers frequently work alongside product managers, designers, and software developers to translate business goals into quantifiable metrics and actionable insights. They participate in planning meetings to define project requirements, develop data models, and present analytical findings that inform decision-making. Effective communication and the ability to explain complex data in accessible terms are essential, as Analytical Engineers often bridge the gap between technical and non-technical team members. This collaborative environment fosters a shared understanding of project objectives and helps ensure that solutions align with both technical feasibility and business needs.

What are the key skills and qualifications needed to thrive as an analytical engineer, and why are they important?

To thrive as an Analytical Engineer, you need a solid background in engineering principles, data analysis, and problem-solving, typically supported by a relevant engineering degree. Proficiency with analytical software such as MATLAB, Python, or finite element analysis (FEA) tools, along with familiarity with industry-specific systems, is essential. Strong communication, critical thinking, and teamwork skills help Analytical Engineers translate complex data into actionable insights and collaborate effectively. These abilities are crucial for developing reliable solutions, optimizing processes, and supporting informed decision-making within technical teams.

What is the difference between Analytical Engineer vs Data Scientist?

AspectAnalytical EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Data Analytics, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentEngineering teams, product development, manufacturingData analysis, modeling, research teams
Industry UsageManufacturing, tech, automotive, aerospaceTech, finance, healthcare, e-commerce
Common Search IntentTechnical analysis, process optimizationData modeling, predictive analytics

Analytical Engineers focus on applying engineering principles to analyze and optimize systems and processes, often working closely with product and manufacturing teams. Data Scientists primarily analyze data to extract insights, build models, and support decision-making. While both roles require analytical skills, their focus areas and typical environments differ, making this comparison useful for those exploring career options or job opportunities.

Are analytical engineers in demand?

Analytical engineers are in high demand across industries such as manufacturing, technology, and energy due to their expertise in data analysis, process optimization, and system modeling. Employers seek professionals skilled in tools like MATLAB, Python, and data visualization, often requiring a strong background in engineering principles and certifications. The role offers growth opportunities as companies increasingly rely on data-driven decision-making.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What are popular job titles related to Analytical Engineer jobs in California?

For Analytical Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Analytical Engineer jobs in California look for?

The top searched job categories for Analytical Engineer jobs in California are:

Analytical Engineer jobs near you
Infographic showing various Analytical Engineer job openings in California as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $100,420 per year, or $48.3 per hour.

Analytics Engineer

Fanatics Collectibles

Los Angeles, CA • On-site

Full-time

Re-posted yesterday

Job description

About the Team

We're looking for an Analytics Engineer to join the Sales & Finance Engineering team at Fanatics Collectibles. This team is the technical backbone for our Commercial, Sales, Strategy, and Finance organizations, and this role sits at the intersection of those business relationships and the data infrastructure that serves them via our internal applications.

You'll spend roughly equal time understanding what our stakeholders need and building the systems that deliver it. That means partnering directly with product managers, finance analysts, and sales ops leaders to translate fuzzy business questions into well-defined data products and then owning the pipeline, transformation, and visualization work that makes those products real.

This isn't a pure platform engineering role or a pure analytics role. We're looking for someone who is comfortable moving between engineering, data and product thinking, curious enough to learn what they don't know, and confident enough to push back when requirements don't make sense yet.

 What You'll Do
  • Build and maintain data pipelines that bring data from source systems into Snowflake, with a focus on reliability, observability, and maintainability
  • Implement and manage orchestration flows using Airflow or Dagster
  • Build transformation layers using dbt, including data modeling, testing, and documentation standards
  • Design and maintain Sigma dashboards that serve as the primary reporting surface for our business stakeholders
  • Ensure data quality and consistency across reporting surfaces, establishing validation practices and source-of-truth definitions
  • Partner with Commercial, Sales, Strategy, and Finance stakeholders, product manager and engineering leads to understand data and reporting needs, surface gaps, and build the tools necessary to support
  • Translate business requirements into clear data specs and prioritized work, often without a fully formed brief to start from
  • Communicate proactively with partners explaining tradeoffs, setting expectations, and making complex data concepts accessible
  • Tag into broader engineering work on the Sales & Finance team as needed this could mean contributing to data-oriented product features, reviewing code, or supporting integrations that touch our data layer
 What You'll Bring
  • 3-5 years of experience in a analytics engineering, data engineering or software engineering, or a hybrid (preferred)
  • Hands-on experience with Snowflake. SQL and Python
  • Strong working knowledge of dbt for transformation, testing, and documentation
  • Experience building and managing pipeline orchestration with Airflow or Dagster
  • Experience building dashboards and data visualizations, ideally with Sigma or a comparable BI tool
  • Exposure to engineering work beyond data, APIs, backend services, or product feature development
  • Demonstrated ability to work directly with business stakeholders, not just receiving tickets, but helping shape what gets built and why
  • Strong written and verbal communication skills; comfortable in rooms with both engineers and executives
  • A genuine curiosity and willingness to stretch, this role will evolve and we want someone who evolves with it
 Nice to Have
  • Familiarity with AWS data services (Glue, S3, Firehose, Kinesis)
  • Experience in a commerce, collectibles, or marketplace environment
  • Experience in an environment where you had to define your own scope and priorities
 Why This Role

You'll have real relationships with the business leaders whose decisions depend on the work you do, and you'll have the latitude to shape how data is used across Sales and Finance at Fanatics Collectibles.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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