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Product Manager Data Analytics Jobs (NOW HIRING)

Senior Manager, Data Analytics Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties ... Collaborate closely with Engineering and Product partners on prioritization and execution of ...

Our products include advanced solutions for urban markets, industrial intralogistics, commercial ... We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data ...

Working knowledge of AI/ML concepts, data analytics, and statistical methods * Familiarity with ML ... Product Management, Agile, or Project Management certification (e.g., Scrum Master, PMP, SAFe ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

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Product Manager Data Analytics information

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$51.5K

$159.4K

$197K

How much do product manager data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for product manager data analytics 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 the key skills and qualifications needed to thrive as a Product Manager in Data Analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

How does a Product Manager in Data Analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

What are Product Manager Data Analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.
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What cities are hiring for Product Manager Data Analytics jobs? Cities with the most Product Manager Data Analytics job openings:
What states have the most Product Manager Data Analytics jobs? States with the most job openings for Product Manager Data Analytics jobs include:
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Walmart

Sunnyvale, CA • On-site

$172K - $234K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,045 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

What you'll do...

Position: Senior Manager, Data Analytics

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Guide payment initiatives to enhance the partner settlements platform, and mitigate financial, reputation, and regulatory impact with a focus on a better seller and customer experience. Build analytical solutions for marketplace payments leveraging scientific approaches involving statistical models and feature engineering in partnership with the Data Science team. Monitor and enhance solutions regularly to accommodate changes in risk trends. Analyze the performance and business impact of payments risks related predictive data-science models. Build and implement risk rules/strategies to detect and mitigate losses due to fraud and performance issues using business rule engines and artificial intelligence tools. Work on various payments related data marts and large datasets to identify insights from data and help make decisions on payments and risk fronts using SQL. Perform high-end data analysis to support various business functions using data analytics tools (Python, R, SAS, and MS Excel). Design, maintain, and track portfolio key performance indicators and metrics using data visualization tool Tableau and provide updates to business leadership regularly. Create and implement robust risk policies and processes by collaborating cross functionally with Trust and Safety, Performance, and Legal. Implement recovery mechanisms and investigation procedures partnering with operations. Collaborate closely with Engineering and Product partners on prioritization and execution of payments roadmap. This position does not supervise other employees.

Minimum education and experience required: Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field and 4 years of experience in data analysis, data science, statistics, or related field; OR Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field.

Skills required: Experience writing complex queries using SQL. Experience coding in Python. Experience making elaborate visualizations using Tableau. Experience using R for predictive modeling. Experience building Machine Learning based solutions. Experience engaging in statistical analysis. Experience conducting business analysis. Experience designing and evaluating A/B tests. Experience using Hadoop to work on Big Data. Experience managing payments and seller risk. Employer will accept any amount of experience with the required skills.

Salary Range: $172,170/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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