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Product Manager Data Analytics Jobs (NOW HIRING)

Sample6 Techcnologies, Inc.

Product Manager

Boston, MA · On-site

Product Manager - Data and Analytics About the company Sample6 Technologies is a spinout of MIT and Boston University, situated at the intersection of synthetic biology, sensor technology and cloud ...

VivSoft Technologies

Product Manager

Springfield, VA · On-site

$170K - $180K/yr

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 ...

Walmart

Senior Manager, Data Analytics

Bentonville, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support · Provide ad-hoc analysis and ...

Walmart

Senior Manager, Data Analytics

Rogers, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support · Provide ad-hoc analysis and ...

Walmart

Senior Manager, Data Analytics

Greenland, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support · Provide ad-hoc analysis and ...

Walmart

Senior Manager, Data Analytics

Johnson, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support · Provide ad-hoc analysis and ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$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 ...

Walmart

Senior Manager, Data Analytics

Cassville, MO · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support · Provide ad-hoc analysis and ...

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Product Manager Data Analytics information

See salary details

$51.5K

$159.4K

$197K

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

As of Aug 23, 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 is a 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.

How does a product manager 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 are the key skills and qualifications needed to thrive as a product manager 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.

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.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.
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Product Manager Data Analytics jobs near you
Infographic showing various Product Manager Data Analytics job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Data Analytics with Product Management

IT America

Austin, TX • On-site

Other

Posted 2 days ago

New

Job description

Position: Data Analytics with Product Management

Location: Austin, TX (Hybrid, 3D onsite - 2D Remote / Need Locals to Austin, San Antonio, Houston, Dallas, TX)

Duration: Long-Term Contract

Experience: 12 15+ Years

Type: Only W2/ Self/Own Corp (Not a shareholder/ No 1099)

Job Description:

At least 10+ years of experience in product management, data platform delivery, analytics delivery, data engineering, enterprise technology delivery, or related roles.

Experience managing product backlogs, roadmaps, epics, features, user stories, acceptance criteria, prioritization routines, and stakeholder engagement for data or technology platforms.

Experience working with enterprise data platforms, cloud data ecosystems, lakehouse or warehouse environments, data pipelines, data quality, governance, metadata, lineage, semantic layers, BI platforms, or MDM capabilities.

Experience with modern data and analytics technologies such as Databricks, Azure, Power BI, MicroStrategy, Snowflake, SQL, Python, Spark, orchestration tools, catalog or governance platforms, and data quality tooling preferred

Experience supporting agile delivery teams in a scrum master, delivery lead, product owner, or product manager capacity.

Skills Required:

Strong product management mind-set with ability to define value, prioritize demand, sequence delivery, manage trade-offs, and communicate roadmap decisions clearly.

Working knowledge of SQL, data pipelines, ETL / ELT, analytics consumption patterns, dash boarding, data validation, platform observability, and cloud platform concepts.

Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.

Ability to translate complex technical needs into business-oriented product outcomes, delivery increments, acceptance criteria, and executive-ready updates.

Strong agile delivery facilitation skills, including backlog refinement, sprint planning, dependency management, impediment removal, release coordination, and retrospective-driven improvement.

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