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Product Analytics Manager Jobs in California (NOW HIRING)

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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 Sep 5, 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 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 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 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:

Infographic showing various Product Analytics Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Product Analytics - Engagement Manager

ExlService Holdings, Inc.

San Francisco, CA • On-site

Full-time

Posted 10 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 500 rated business services


Job description

We are seeking a hands-on Product Analytics Engagement Manager to own product performance analytics across customer acquisition and engagement journeys. The role will focus on recurring reporting, funnel and channel analytics, anomaly investigation, impact sizing, and ad-hoc business analysis.

  • 7+ years of experience in Product Analytics, Digital Analytics, Funnel Analytics, Growth Analytics or Customer Journey Analytics.
  • Strong proficiency in SQL; working knowledge of Python, R or similar tools.
  • Strong understanding of customer funnels, conversion metrics and digital journeys.
  • Experience with recurring reporting, dashboards and analytical pipelines.
  • Strong root-cause analysis and problem-solving skills.
  • Experience with forecasting, variance analysis and impact assessment.
  • Experience with web analytics tools such as HEAP, Google Analytics or similar is preferred.
  • Strong communication and stakeholder management skills.
  • Master's degree in a quantitative discipline; strong BA/BS candidates with relevant experience may also be considered.
  • Own weekly and monthly reporting across eligibility, impressions, applications, submissions and conversion.
  • Build and maintain end-to-end funnel and channel reporting across digital journeys.
  • Analyze customer journeys to identify drop-offs, friction points and performance trends.
  • Investigate anomalies and perform root-cause analysis across key product and channel metrics.
  • Quantify the impact of product bugs, system issues and data incidents.
  • Partner with Finance to validate forecasts, assumptions and performance variances.
  • Conduct ad-hoc deep dives for Product, Credit, Risk, Fraud and other stakeholders.
  • Develop dashboards and measurement frameworks for product and funnel performance.
  • Translate findings into clear business insights and recommendations.

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

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