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Product Manager Data Analytics Jobs in Minnesota

Beacon Systems, Inc

Data Product Manager

Saint Paul, MN · On-site

Paul MN, 55155 Duration: 12 Months plus Required skills · 4-7 years of experience in Data management, data analytics, data engineering, or related fields. · Demonstrated Product leadership skills ...

New

Infojini

Data Product Manager

Saint Paul, MN · On-site

Analytics, Insights & Measurement: • Define success metrics and measure product performance and ... management, data analytics, data engineering, or related fields. • Demonstrated Product ...

New

Radiant Digital

Senior Data Product Manager

Saint Paul, MN · On-site

$127K - $168K/yr

Minimum Qualifications * 4-7 years of experience in Data management, data analytics, data engineering, or related fields. * Demonstrated Product leadership skills and ability to work in ambiguity.

New

VIVA USA INC

Data Product Manager

Saint Paul, MN · On-site

... Product Manager who will be responsible for supporting significant system changes to turn the ... This role requires strong analytical skills, deep understanding of data systems, and a strong ...

Performix

Data Product Manager

Saint Paul, MN · On-site

Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution. Data Product Development: Lead the end\-to\-end lifecycle of data products: requirements ...

New

Enclipse Corp.

Data Manager

Saint Paul, MN · On-site

Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable ...

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Product Manager Data Analytics information

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.

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 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Product Manager

HonorVet Technologies

Saint Paul, MN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

HonorVet Technologies is a Service Disable Veteran-Owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline; it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring. 
Position: Data Product Manager
Duration: 12 Months (Possible Extension)
Location: St. Paul, MN 55155 (Hybrid)
Note: The work is expected to be performed remotely or in a hybrid capacity at the organization's offices in St. Paul, MN. The resource must be located within the borders of the United States and be available to work during regular business hours of 7:00 a.m. - 6:00 p.m. Central Time, Monday through Friday.
Description of Project
The Data Product Manager will be responsible for supporting significant system changes to transform the organization's data into scalable, high-value products—such as curated datasets, analytics platforms, and data infrastructure—supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy to help mature data practices and teams and drive organizational efforts to transition to new data lakes and data curation platforms from current legacy mainframe systems.
At a high level, the resource will lead the strategy, roadmap, and execution of data efforts, enabling better decision-making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration teams, the Data Product Manager will facilitate and help drive the path toward trusted, reusable, governed, and consumable data assets across the enterprise.
This role requires strong analytical skills, a deep understanding of data systems, and a strong aptitude for translating between technical teams and business requirements throughout the product lifecycle. Product Managers guide products through the full lifecycle—from ideation and design to development, deployment, monitoring, and deprecation.
Mode of Interview
The organization will conduct interviews. The organization reserves the right to remove a resource from consideration if the resource is unavailable for interviews as requested. Interviews will be conducted via Microsoft Teams.
The organization retains the option to extend the work order in increments determined by the organization.
Sample Tasks
Product Strategy & Vision
  • Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
  • Identify high-value opportunities by investigating the data landscape, pain points, and business needs.
  • Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
  • Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
  • Align engineering, analytics, and business teams. Use metrics to guide prioritization and product evolution.
Data Product Development
  • Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
  • Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
  • Translate business logic into data transformations, metadata, and domain-specific rules. Skilled in or adept at data architecture, modeling, and pipelines.
  • Ensure data products are reliable, governed, and scalable.
Interested Parties Management
  • Serve as the primary liaison between technical teams and business partners across the organization.
  • Communicate product value, roadmap, and use cases to leadership and cross-functional teams.
  • Prioritize incoming requests and balance competing needs across teams.
Analytics, Insights & Measurement
  • Define success metrics and measure product performance and adoption.
  • Ensure data products deliver actionable insights and support decision-making.
  • Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
Governance, Compliance & Ethical Data Use
  • Uphold data governance, privacy, and ethical AI standards.
  • Ensure compliance with regulatory and organizational data policies.
  • Advocate for responsible data use across the human services space served and supported by the organization.
  • Provide knowledge transfer.
Desired Qualifications
  • Desired 4–7 years of experience in Data Management, data analytics, data engineering, or related fields.
  • Demonstrated Product leadership skills and ability to work in ambiguity.
  • Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
  • Proficiency collaborating with data Architecture, data engineering, and data science teams.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, and stakeholder management skills.
  • Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
  • Understanding of large organizational data-sharing constraints and data-sharing agreements.
  • Experience with SQL, data lakes, data, and data pipelines / ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Background in building internal platforms or developer-facing products.
  • Experience in implementing modern data architectures at an organization.
  • Experience in a highly regulated industry performing statistical analysis and reporting.
 
If you are interested, feel free to reach out to me directly at or call/text .
 
HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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