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Analytics Engineer Jobs in California (NOW HIRING)

Analytics Engineer

Tracy, CA Β· On-site

$90K - $110K/yr

Job Summary The Analytics Engineer will be part of our Analytics & Insights team and partner closely with stakeholders and internal data teams to translate business needs into scalable analytics ...

As a Senior Analytics Engineer, you will own the development of curated datasets, semantic models, and analytics frameworks that enable teams across Product, Marketing, Operations, Finance, Supply ...

Senior Analytics Engineer

Santa Monica, CA Β· On-site

$130K - $150K/yr

As a Senior Analytics Engineer, you will own the development of curated datasets, semantic models, and analytics frameworks that enable teams across Product, Marketing, Operations, Finance, Supply ...

Analytics Engineer

Modesto, CA Β· On-site

$119K - $143K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

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 ...

The fundamental role of the Analytics Engineer is to develop and maintain reusable data products that enable stakeholders to answer their own questions efficiently and effectively. They speak the ...

The fundamental role of the Analytics Engineer is to develop and maintain reusable data products that enable stakeholders to answer their own questions efficiently and effectively. They speak the ...

New

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Analytics Engineer

Sylmar, CA Β· On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Analytics Engineer

Los Angeles, CA Β· On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Analytics Engineer III

Sacramento, CA Β· On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Analytics Engineer III

Sacramento, CA Β· On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

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 ...

Senior Analytics Engineer

Carlsbad, CA Β· On-site

$119K - $188K/yr

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 ...

Senior Analytics Engineer

Carlsbad, CA Β· On-site

$148K - $222K/yr

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 ...

Data Analytics Engineer

San Francisco, CA Β· On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

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Analytics Engineer information

See California salary details

$61.2K

$106.9K

$174.3K

How much do analytics engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for analytics engineer in California is $106,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,807.00 and $119,955.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

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

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in California?

The most popular types of Analytics Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Analytics Engineer jobs?

Cities in California with the most Analytics Engineer job openings:

Infographic showing various Analytics Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,868 per year, or $51.4 per hour.

Analytics Engineer

Tracy, CA β€’ On-site

Create Music Group
Arts, Entertainment, and RecreationΒ β€’Β 51 - 200 employees

$90K - $110K/yr

Other

Posted 10 days ago


Job description

Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.

Job Summary

The Analytics Engineer will be part of our Analytics & Insights team and partner closely with stakeholders and internal data teams to translate business needs into scalable analytics solutions. The role will analyze; integrate data from multiple datasets, write and optimize SQL for analytics; reporting, own end-to-end analytics deliverables, and recommend data and reporting improvements.

The ideal candidate takes ownership, approaches complex problems with creativity and persistence, and continuously raises the bar for analytical excellence. They pair technical expertise with sharp business acumen, transforming data into actionable insights that create meaningful business impact.

Responsibilities

  • Partner closely with Finance, Music Ops, Acquisitions, and other business stakeholders to understand reporting needs, data gaps, and analytical requirements
  • Collaborate with internal data teams to translate business questions into scalable, well-modeled, analytics-ready data solutions
  • Analyze and integrate data from disparate datasets to develop niche reporting tables and generate meaningful business insights
  • Develop, optimize, and maintain complex SQL queries and reporting tables
  • Recommend and implement improvements to existing SQL data models
  • Design and build scalable reporting architecture that supports evolving analytics needs
  • Design and develop executive dashboards and KPI frameworks that provide real-time visibility into business performance
  • Apply software engineering best practices to analytics code (e.g., version control, continuous integration)
  • Participate in code reviews and optimize SQL for performance, including Sigma-specific optimization
  • Maintain data documentation, definitions, and governance standards
  • Other duties as assigned

Qualifications

  • Bachelor’s degree in a quantitative field (Mathematics, Statistics, Engineering, Computer Science etc.); Master’s degree or advanced certification in related field preferred
  • 2+ years of experience in the analytics domain as a data analyst/data engineer/data scientist
  • Strong proficiency in SQL
  • Proven ability to navigate ambiguous requirements, analyze and integrate datasets and build targeted reporting tables, executive dashboards and KPIs
  • Demonstrated expertise in building and owning the analytics semantic layer, including metric definitions, data models & business logic
  • Understanding of how data insights translate to business value and competitive advantage
  • Programming experience in R, Python, or similar analytical languages is preferred
  • Experience with dashboard development in Tableau or Sigma
  • Eagerness to learn new technologies, methodologies, and business domains
  • Ability to work independently and collaboratively within a team
  • Strong communication and cross-functional collaboration skills
  • Knowledge of the music industry is an asset

Pay Scale

  • $90,000 - $110,000 per year
  • The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.
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