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Product Analytics Manager Jobs (NOW HIRING)

Essen Medical Associates

Analytics Manager

Bronx, NY · On-site

Analyze patient access, provider productivity, appointment utilization, and population health data ... Mentor and manage a team of analysts and data scientists. * Present insights and recommendations to ...

Essen Medical Associates

Analytics Manager

Bronx, NY · On-site

$150K - $200K/yr

Analyze patient access, provider productivity, appointment utilization, and population health data ... Mentor and manage a team of analysts and data scientists. * Present insights and recommendations to ...

Esri

Product Analyst

Redlands, CA · On-site

This role focuses on advanced analytics and data-driven insights to influence product and business ... Managers, Product Managers, and other internal stakeholders to translate ambiguous business ...

Esri

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

Overview Come join our Product Analytics team at Esri! The Product Analyst focuses on advanced ... Collaborate with other internal stakeholders - Business Managers, Product Managers, and other ...

Collectorsuniverse

Analytics Manager, Growth

Santa Ana, CA · Remote

$105K - $171K/yr

We are hiring an Analytics Manager to join our Growth Analytics team. This team is responsible for ... Partner with data platform, marketing and product teams to define key metrics necessary to meet ...

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Product Analytics Manager information

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$51.5K

$159.4K

$197K

How much do product analytics manager jobs pay per year?

As of Jul 22, 2026, the average yearly pay for product analytics manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are Product Analytics Managers?

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, and why are they important?

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.
More about Product Analytics Manager jobs
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Product Analytics Manager jobs near you
Infographic showing various Product Analytics Manager job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Analyst / Product Analytics Lead / Data Analytics / Web Analytics::San Jose, CA Onsite

Product Analyst / Product Analytics Lead / Data Analytics / Web Analytics::San Jose, CA Onsite

talentmovers inc

San Jose, CA • On-site

$90K - $105K/yr

Contractor

Re-posted 9 days ago

Job description

Title : Analytics Developer (Lead) / Senior Product Analyst / Product Analytics Lead / Data Analytics / Web Analytics / Product Insights

Location : San Jose, CA Onsite Only [NO REMOTE OPTION]

FTE ONLY 

Salary : $90k-$105k/Annum [Depend on experience]

JD :

  1. Should have very strong knowledge of product analytics; Should understand how to map out user journeys based on clickstream data and be able to form and validate hypothesis based on user behavior
  2. The ideal candidate would have qualities of both a Product Manager as well as a strong analyst, can work independently and drive projects end-to-end with stakeholders
  3. Is a self-starter and is very hands-on with SQL (pref. Databricks)
  4. Relevant Experience: 7-10 Yrs
  • Excellent communication and presentation skills required, as this will be a business-facing role.