ZipRecruiter

Log In

1

Product Analytics Manager Jobs in California (NOW HIRING)

RathRecruiting

Product Analytics Manager

San Jose, CA · On-site

Build prototypes to demonstrate innovative data driven product ideas * Assist in monitoring and ... Demonstrated experience in planning, organizing, and managing multiple analytic projects with ...

RathRecruiting

Product Analytics Manager

San Jose, CA · On-site

Build prototypes to demonstrate innovative data driven product ideas * Assist in monitoring and ... Demonstrated experience in planning, organizing, and managing multiple analytic projects with ...

Versant Media

We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming and ticketing platforms, driving audience growth and revenue. This role will lead analytics ...

Earnest

Product Analyst II

San Francisco, CA · On-site

$100K - $125K/yr

... Analytics Manager and work closely with our Product teams to use data to make better decisions and accelerate learning. This role requires true analytical curiosity and the ability to solve ...

Protingent

Product Analytics

Santa Clara, CA · On-site

$60 - $64/hr

Collaborate with product management, sales programs, analytics, and operations teams to align insights with subscription strategy and lifecycle program priorities. * Support business reviews ...

next page

Showing results 1-20

All JobsProduct Analytics JobsProduct Analytics Manager JobsProduct Analytics Manager Jobs in California

Product Analytics Manager information

See California salary details

$50.8K

$157.3K

$194.4K

How much do product analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for product analytics manager in California is $157,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $194,400.00 per year, depending on experience, location, and employer.

What is a product analytics manager?

Product Analytics Managers are professionals responsible for analyzing data related to a company's products to inform decision-making and strategy. They help teams understand user behavior, product performance, and market trends by leveraging data analysis and visualization tools. Their insights guide product development, feature prioritization, and business growth. Typically, they collaborate with product managers, engineers, designers, and business stakeholders to ensure that data-driven decisions are at the heart of product strategy.

What are the key skills and qualifications needed to thrive as a product analytics manager?

To thrive as a Product Analytics Manager, you need expertise in data analysis, statistical modeling, and product strategy, often backed by a degree in a quantitative field and experience in analytics roles. Proficiency with analytics tools such as SQL, Python, Tableau, and product analytics platforms like Mixpanel or Amplitude is typically required. Strong communication, problem-solving, and stakeholder management skills help translate data insights into actionable product improvements. These skills are essential for driving data-informed decisions that enhance product performance and align with business goals.

What is the difference between Product Analytics Manager vs Data Analyst?

AspectProduct Analytics ManagerData Analyst
Required credentialsBachelor's/Master's in Business, Analytics, or related fields; experience with analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work environmentCollaborates with product teams, marketing, and engineeringSupports various departments with data insights
Industry usageCommon in tech, e-commerce, SaaS companiesWidespread across industries including finance, healthcare, retail

The Product Analytics Manager focuses on analyzing product performance and user behavior to inform product development, while the Data Analyst provides broader data insights across departments. Both roles require strong analytical skills and familiarity with data tools, but the Product Analytics Manager has a more specialized focus on product metrics and strategy.

What are some common challenges faced by product analytics managers when aligning data insights with product strategy?

Product Analytics Managers often encounter challenges in translating complex data findings into actionable insights that resonate with both technical and non-technical stakeholders. Balancing immediate product needs with long-term strategic goals can require prioritizing certain analyses and recommendations over others. Additionally, ensuring data quality and consistency across multiple sources can be demanding, especially in fast-paced environments where product features and user behaviors evolve quickly. Effective communication and collaboration with product managers, engineers, and designers are essential to drive data-informed decisions that support overall product growth.
What are the most commonly searched types of Product Analytics jobs in California? The most popular types of Product Analytics jobs in California are:
What are popular job titles related to Product Analytics Manager jobs in California? For Product Analytics Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Product Analytics Manager jobs in California look for? The top searched job categories for Product Analytics Manager jobs in California are:
What cities in California are hiring for Product Analytics Manager jobs? Cities in California with the most Product Analytics Manager job openings:
Product Analytics Manager jobs near you
Infographic showing various Product Analytics Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Product Analytics Manager

RathRecruiting

San Jose, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Company Description
About the company
We're working with the market-leading cloud solution for authenticating digital personas and transactions on the Internet. These guys are verifying more than 20 billion annual transactions supporting 30,000 websites and 4,500 customers globally. Their flagship solution is deployed across a variety of industries, including financial services, e-commerce, payments and lending, media, government and insurance.
Job Description
Description
  • Use data from the largest real-time fraud detection platform on the planet to craft solutions with data analysis, statistical modeling, and supervised machine learning. This role has the potential to cause the most immediate real-world impact in the form of increased profits, lower authentication friction, and reduced credential abuse.You'll leverage a real-time platform analyzing billions of transactions per month for our Fortune 500 customers in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it.
  • You'll be continually collaborating with internal services and engineering teams, customer-facing account teams, and external business leaders and risk managers. The data driven prototypes, reports and models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.

Qualifications
Responsibilities
  • Direct and execute multiple medium to large analytic projects along with rest of the stakeholders in the services, engineering & products team
  • Build prototypes to demonstrate innovative data driven product ideas
  • Assist in monitoring and maintaining global fraud detection policies, models & reports
  • Collaborate with the internal teams to fully understand business requirements and desired business outcomes
  • Contribute to the development of the team's analytical skills and business knowledge
  • Be the face of data in the organization and promote

Data/Technical qualifications
  • 3+ years of analytical experience and graduate degree in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
  • Demonstrated hands on expertise with Hadoop (Imapala/Hive)/SQL & Python
  • Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc
  • Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply