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Product Manager Data Analytics Jobs in Minnesota

Horizontal Talent

Data Product Manager

Minneapolis, MN · Remote

Partner with business, analytics, reporting, and technology teams to identify needs and define data product priorities * Translate business and analytical requirements into user stories, acceptance ...

New

Evereve Incorporated

Data Analytics Engineer

Edina, MN · On-site

$115K - $165K/yr

Experience supporting production environments and snapshot reporting databases. * Strong analytical ... Self-Managed PTO: Time off is yours to plan and use as you need it * Affordable Health Insurance ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... data products that enable analytics, AI, and digital business capabilities. You will collaborate ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... data products that enable analytics, AI, and digital business capabilities. You will collaborate ...

Graco, Inc.

Senior Product Manager

Rogers, MN · On-site

$133K - $175K/yr

The Senior Product Manager will lead global product management for the Contractor Division ... Utilize data analytics to continuously re-evaluate product performance and customer satisfaction ...

Graco

Senior Product Manager

Rogers, MN

$133K - $175K/yr

The Senior Product Manager will lead global product management for the Contractor Division ... Utilize data analytics to continuously re-evaluate product performance and customer satisfaction ...

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Product Manager Data Analytics information

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.

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 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 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.

What are popular job titles related to Product Manager Data Analytics jobs in Minnesota?

For Product Manager Data Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Product Manager Data Analytics jobs in Minnesota look for?

The top searched job categories for Product Manager Data Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Product Manager Data Analytics jobs?

Cities in Minnesota with the most Product Manager Data Analytics job openings:

Product Manager Data Analytics jobs near you
Infographic showing various Product Manager Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Product Manager

Horizontal Talent

Minneapolis, MN • Remote

Full-time

Posted yesterday

New

Job description

We’re looking for a Data Product Manager to help shape and deliver data products that support Indirect and Reverse Logistics Supply Chain initiatives. This role partners closely with business stakeholders, analysts, source-system teams, and data engineering teams to translate business needs into clear data requirements and help drive modernization efforts to Google Cloud Platform (GCP).

Responsibilities
  • Partner with business, analytics, reporting, and technology teams to identify needs and define data product priorities
  • Translate business and analytical requirements into user stories, acceptance criteria, and actionable deliverables
  • Own and manage the product backlog, balancing value, dependencies, risk, and delivery timelines
  • Develop a strong understanding of the underlying data to help validate requirements and troubleshoot issues
  • Coordinate work across source systems, data engineering, reporting, and other product teams
  • Proactively surface risks, blockers, and cross-team dependencies, and communicate their impact clearly
  • Support testing, validation, and adoption of data products in collaboration with engineering, analysts, and business users
  • Help establish expectations around data quality, completeness, timeliness, and usability
  • Contribute to data modernization and migration efforts to GCP, including pipeline, dataset, and reporting transitions
  • Communicate priorities, progress, decisions, and upcoming work to both technical and non-technical audiences
Skills
  • Experience in data product management or a related role
  • Ability to translate business needs into clear requirements and delivery plans
  • Strong backlog management and prioritization skills
  • Working knowledge of data concepts, data quality considerations, and validation processes
  • Experience coordinating across multiple teams and managing dependencies
  • Excellent communication skills with the ability to adapt messaging for different audiences
  • Strong problem-solving skills and attention to detail
  • Ability to support delivery through discovery, development, testing, implementation, and adoption
  • Comfort working in a fast-paced, collaborative environment
  • Experience supporting cloud data migration initiatives is highly relevant
Preferred Skills
  • Experience with Google Cloud Platform or similar cloud-based data environments
  • Background supporting supply chain, logistics, or retail data initiatives
  • Familiarity with modern data pipeline and reporting ecosystems
  • Experience working with both technical teams and business stakeholders in a product-focused setting
  • Ability to help drive change and adoption across teams

Horizontal is committed to building an inclusive, respectful, and equitable environment where people of all backgrounds can thrive. We value diverse perspectives and encourage candidates from all experiences and identities to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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