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Senior Analytics Engineer Jobs in Riverside, CA (NOW HIRING)

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio ... You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all ...

Pwc

NGA AI Engineer Senior Manager

Irvine, CA · On-site

$91K - $321K/yr

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio ... You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all ...

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Showing results 1-20

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Riverside, CA

Senior Analytics Engineer information

See Riverside, CA salary details

$62.1K

$132K

$191.4K

How much do senior analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior analytics engineer in Riverside, CA is $132,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are popular job titles related to Senior Analytics Engineer jobs in Riverside, CA? For Senior Analytics Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Riverside, CA look for? The top searched job categories for Senior Analytics Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Analytics Engineer jobs? Cities near Riverside, CA with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 6% Internship, 77% Full Time, and 17% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $132,033 per year, or $63.5 per hour.
Senior Analytics Engineer (Power BI & SQL)

Senior Analytics Engineer (Power BI & SQL)

Comrise

Irvine, CA • On-site

$53.30/hr

Full-time

Posted 2 days ago

New

Job description

Job Title: Senior Analytics Engineer (Power BI & SQL)
Location: Irvine, CA
Rate: $53.30/hour on W2
 
Job Overview

We are seeking a highly skilled and strategic Senior Power BI Developer with deep expertise in the Microsoft data stack to design, develop, and maintain high-performance interactive dashboards and enterprise reports. In this consulting role, you will act as the critical translator between complex data sets and business leadership, converting technical requirements into intuitive, executive-ready visualizations that drive actionable decision-making.

The ideal candidate possesses exceptional DAX and SQL skills, is deeply familiar with advanced data modeling, and has a proven track record of delivering clean, scalable reporting solutions in dynamic consulting environments.

Key Responsibilities

  • Design, develop, and maintain highly interactive Power BI dashboards and enterprise reports.

  • Gather and translate complex business requirements into clean, user-friendly, and effective data visualizations.

  • Develop and optimize robust data models, custom measures, and calculations using advanced DAX.

  • Connect Power BI to multiple disparate data sources while ensuring strict data accuracy and optimal dashboard performance.

  • Collaborate closely with business stakeholders to understand their strategic reporting needs and recommend modern visualization solutions.

  • Troubleshoot and resolve complex dashboard performance bottlenecks, data refresh errors, and modeling issues.

  • Follow established BI development standards, dashboard design best practices, and enterprise tenant governance protocols.

  • Support ongoing enhancements, migrations, and maintenance of existing Power BI assets.

Qualifications & Required Skills

  • Experience: 3+ years of dedicated experience in Business Intelligence, data analytics, or enterprise reporting.

  • Power BI Mastery: Advanced proficiency with Microsoft Power BI, including extensive experience with complex data modeling, row-level security (RLS), and writing advanced DAX.

  • Data Integration: Proven experience connecting Power BI to SQL databases, cloud data warehouses, and diverse enterprise data sources.

  • Technical Skills: Strong SQL skills for writing efficient queries, performing data transformations, and working with Power Query (M) or ETL concepts.

  • Consulting Mindset: Excellent analytical, problem-solving, and communication skills with the ability to manage multiple project priorities independently.

Preferred Qualifications

  • Hands-on experience or familiarity with Microsoft Fabric, Azure data services, or the broader Power Platform (Power Apps, Power Automate).

  • Strong conceptual knowledge of data warehousing architectures and dimensional modeling (Star/Snowflake schemas).

  • Experience delivering BI solutions within an Agile project management framework.

  • Relevant Microsoft certifications (such as PL-300 or DP-600) are highly advantageous.

Comrise logo

About Comrise

Sourced by ZipRecruiter

With over 38 years of staffing and business experience, Comrise continues to lead by example. We provide personalized and customized business solutions for all your recruiting and talent. Headuartered in New Jersey since 1984, Comrise is a staffing, consulting and enhanced search technology company. For over 38 years, we have delighted our clients and consultants by focusing on customer satisfaction, innovation, and flexible workforce solutions! With locations in the U.S, China, and Southeast Asia, we provide high-quality executive search, temporary assignments, temporary to permanent opportunities and cross border placement services.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Woodbridge, NJ, US

Year founded

1984

Social media

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