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Analyzer Engineer Jobs in California (NOW HIRING)

Crexi

Analytics Engineer

Los Angeles, CA · On-site

The Analytics Engineer will own data models and KPI definitions, working cross-functionally to ensure reliable data for decision-making across the company. Responsibilities : • Defines and ...

DoorDash

Analytics Engineer

San Francisco, CA · On-site

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making ...

G3

Analytics Engineer

Modesto, CA · On-site

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring ...

Agility Robotics

Structural Analysis Engineer

Fremont, CA · On-site +1

$132K - $172K/yr

Our mechanical engineering team is agile and has grown rapidly, and we are looking for a talented analysis engineer (structural) to join us at our Fremont, CA facility in a hybrid capacity. We are ...

Agility Robotics

Structural Analysis Engineer

Fremont, CA · Hybrid

$132K - $172K/yr

Our mechanical engineering team is agile and has grown rapidly, and we are looking for a talented analysis engineer (structural) to join us at our Fremont, CA facility in a hybrid capacity. We are ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform infrastructure and serve as a key builder connecting their data warehouse to various teams. The role ...

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All JobsAnalyzer Engineer JobsAnalyzer Engineer Jobs in California

Analyzer Engineer information

See California salary details

$35.5K

$95.7K

$146.6K

How much do analyzer engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for analyzer engineer in California is $95,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $108,600.00 per year, depending on experience, location, and employer.

What are some common challenges Analyzer Engineers face when integrating new instrumentation into existing process systems?

Analyzer Engineers often encounter challenges such as ensuring compatibility between new analyzers and legacy control systems, maintaining data accuracy during installation, and minimizing process downtime. Collaboration with process, control, and maintenance teams is crucial to address wiring, calibration, and software integration issues. Clear communication and thorough documentation help streamline the integration process and ensure compliance with safety and quality standards.

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

To thrive as an Analyzer Engineer, you need a solid background in chemical engineering or instrumentation, along with expertise in process analyzers and control systems. Familiarity with tools such as gas chromatographs, spectrometers, PLCs, and relevant industry certifications (like ISA or TÜV) is typically required. Strong problem-solving, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with operations teams. These competencies are crucial for ensuring accurate process monitoring, regulatory compliance, and optimal plant performance.

What are Analyzer Engineers?

Analyzer Engineers are specialized professionals who design, install, maintain, and troubleshoot analytical instruments used to measure various properties of process streams in industries such as oil and gas, chemical, and pharmaceuticals. These engineers work with equipment like gas chromatographs, oxygen analyzers, and pH meters to ensure accurate and reliable data collection for process optimization and safety. Their responsibilities often include selecting the appropriate analyzers, calibrating instruments, and ensuring compliance with industry standards and regulations.

What is the difference between Analyzer Engineer vs Process Engineer?

AspectAnalyzer EngineerProcess Engineer
Required CredentialsBachelor's degree in engineering, chemistry, or related field; certifications in analytical methods are commonBachelor's or master's in chemical, mechanical, or industrial engineering; certifications in process management are typical
Work EnvironmentLaboratories, testing facilities, industrial plantsManufacturing plants, chemical facilities, production lines
Employer & Industry UsageOil & gas, chemical, environmental testing companiesManufacturing, chemical processing, energy sectors

Analyzer Engineers focus on developing and maintaining analytical testing methods and instruments, ensuring accurate data collection. Process Engineers optimize manufacturing processes for efficiency and safety. While both roles require engineering knowledge, Analyzer Engineers are more lab and testing-oriented, whereas Process Engineers work on production systems and process improvements.

What are popular job titles related to Analyzer Engineer jobs in California? For Analyzer Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Analyzer Engineer jobs in California look for? The top searched job categories for Analyzer Engineer jobs in California are:
Analyzer Engineer jobs near you
Infographic showing various Analyzer Engineer job openings in California as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $95,700 per year, or $46 per hour.
Analytics Engineer

Analytics Engineer

Crexi

Los Angeles, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Crexi is reimagining commercial real estate with an AI-powered platform that delivers smarter solutions at every stage of the deal lifecycle. The Analytics Engineer will own data models and KPI definitions, working cross-functionally to ensure reliable data for decision-making across the company.
Responsibilities:
• Defines and instruments company-level and product-level KPIs in partnership with Finance, Product, and Sales.
• Owns and develops the core dbt models: builds, tests, and documents staging, intermediate, and mart models that serve as the single source of truth for business metrics.
• Builds and maintains Sigma dashboards and self-service datasets that stakeholders use without analyst intervention.
• Designs and manages ETL and Reverse ETL syncs (Fivetran) that push curated data into Salesforce, HubSpot, and Iterable.
• Partners with Product and Engineering to instrument event tracking (Mixpanel), define behavioral metrics, and run multivariate tests that inform product decisions.
• Contributes to entity resolution efforts: helps build canonical account and contact models in Snowflake that downstream systems reference.
• Works cross-functionally with Sales, Marketing, Finance, and Customer Success to translate business questions into modeled, governed data.
• Proactively identifies data quality issues, builds dbt tests and alerts, and improves pipeline reliability.
• Builds and implements AI-powered workflows for internal data products, including automated reporting agents, LLM-driven data validation, and natural-language interfaces to warehouse data.
• Ensures compliance with data privacy and security regulations and maintains ethical data handling practices.
• Identifies opportunities to improve data-driven decision-making and proposes solutions
Qualifications:
Required:
• Bachelor’s degree in an analytical field (e.g. Economics, Finance, Mathematics, Statistics, Computer Science).
• 2–5 years of experience in analytics engineering, data engineering, or a data analyst role that included dbt and data modeling.
• Strong SQL skills with experience writing complex queries in Snowflake or a comparable cloud data warehouse; hands-on experience with dbt (Core or Cloud), including writing models, tests, and documentation.
• Experience with a BI tool such as Sigma, Looker, or Tableau, and familiarity with product analytics platforms (Mixpanel, Amplitude) and event-based data.
Company:
Crexi is a technology solution that consolidates commercial real estate tools into a single platform for brokers, investors, and tenants. Founded in 2015, the company is headquartered in Los Angeles, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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