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Metrics Jobs in California (NOW HIRING)

We're seeking a motivated Financial Analyst to join our finance team at Branch Metrics. This role offers an opportunity to develop expertise in financial analysis while contributing to our company ...

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Event Marketer

San Francisco, CA · On-site

$105K - $150K/yr

Come Build With Us As an Event Marketer at Standard Metrics, you will play a key role in building relationships with our customers, prospects, partners, and broader entrepreneurial community through ...

VP of Sales, AMER

San Francisco, CA · On-site

$150 - $200/hr

Own the attainment of performance metrics for Sales Leaders and their teams, driving success across the full sales funnel. * Collaboration: Partner with cross‑functional teams--Sales Development ...

Showing results 41-60

Metrics information

See California salary details

$5

$41

$62

How much do metrics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for metrics in California is $41.39, according to ZipRecruiter salary data. Most workers in this role earn between $11.39 and $58.85 per hour, depending on experience, location, and employer.

What are metrics in a business context?

Metrics are quantifiable measures used to track and assess the status of a specific business process. They help organizations evaluate how well they are performing in relation to their goals and objectives. Common metrics include sales figures, customer satisfaction scores, website traffic, and employee productivity. By analyzing these metrics, businesses can identify areas for improvement and make informed decisions.

How does a Metrics Analyst typically collaborate with other departments to improve business performance?

A Metrics Analyst frequently works cross-functionally, partnering with teams such as marketing, sales, operations, and finance to provide data-driven insights. They gather and interpret performance data, then present actionable recommendations tailored to each department’s goals. Effective communication and collaboration are key, as analysts often facilitate meetings to discuss findings, align on KPIs, and support strategic decision-making. This collaborative environment not only enhances business outcomes but also helps analysts develop a broad understanding of the organization's operations.

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

To thrive as a Metrics Analyst, you need strong analytical skills, proficiency in statistics, and usually a degree in mathematics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, Tableau, or Python is essential, along with knowledge of data visualization techniques. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting data and presenting findings to stakeholders. These skills ensure accurate measurement, actionable insights, and informed decision-making within organizations.

What is the difference between Metrics vs Data Analyst?

AspectMetricsData Analyst
Primary RoleDefine, track, and interpret key performance indicators (KPIs) and metricsCollect, analyze, and interpret data to support business decisions
Required SkillsUnderstanding of metrics, data visualization, basic analyticsStatistical analysis, data manipulation, reporting tools
Work EnvironmentBusiness teams, marketing, finance, operationsData teams, business units, consulting firms
Common CertificationsNone specific, familiarity with analytics toolsGoogle Data Analytics, Microsoft Excel, SQL certifications

Metrics professionals focus on defining and monitoring KPIs to measure performance, while Data Analysts analyze data sets to generate insights that inform strategic decisions. Both roles require analytical skills but differ in scope and focus within the data ecosystem.

What cities in California are hiring for Metrics jobs?

Cities in California with the most Metrics job openings:

Infographic showing various Metrics job openings in California as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $86,083 per year, or $41.4 per hour.

Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles

NVIDIA Gruppe

Santa Clara, CA • On-site

$152 - $253/hr

Other

Posted 4 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are a world‑class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers.

We're looking for a Senior Data Analysis Engineer, AD critical metrics with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.

What you’ll be doing:
  • Work with Product, Engineering, In-car testing team on AD product performance definition, make triage plan, provide performance assessment and release judgments.
  • Supervise and categorize test events from the scaling test, present spike critical metric trends and top issues with deep analysis.
  • Collaborate with multi-functional teams to define data analysis requirements and process, supervise and improve large scale triage efficiency and quality.
  • Improve end to end driving policy product/model performance with data quantity, quality and diversity.
  • Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.
What we need to see:
  • Bachelors or equivalent experience in Computer Science, Electrical Engineering, AI or related fields
  • 8+ proven experience on ADAS/AD vehicle/digital test, data analysis and large datasets from customer cars.
  • Proficiency in Python and a deep understanding of software engineering practices
  • Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job
  • Problem solver and “Buck stops with you”
  • Excellent communication and presentation skills
Ways to stand out from the crowd:
  • Strong in scripting/tools development.
  • Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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