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Product Manager Data Analytics Jobs in Rio Rico, AZ

Raytheon Technologies

Senior Product Manager

Tucson, AZ · On-site

$119K - $157K/yr

Senior Product Manager At Raytheon, the foundation of everything we do is rooted in our values and ... By leveraging enterprise data, AI technology, market analysis, and building a comprehensive ...

Raytheon

Senior Product Manager

Tucson, AZ

$119K - $157K/yr

Senior Product Manager At Raytheon, the foundation of everything we do is rooted in our values and ... By leveraging enterprise data, AI technology, market analysis, and building a comprehensive ...

RTX Corporation

Senior Product Manager

Tucson, AZ · On-site

$119K - $157K/yr

Senior Product Manager At Raytheon, the foundation of everything we do is rooted in our values and ... By leveraging enterprise data, AI technology, market analysis, and building a comprehensive ...

DPR Construction

Technical Product Manager

Tucson, AZ

$157K - $182K/yr

... data and innovation. The Product Manager will directly manage a team of Product Owners, while ... Participate in build vs buy analysis with technology leaders prior to embarking on product design ...

Raytheon

Principal Analyst Data Manager

Tucson, AZ

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the ...

Raytheon

Principal Analyst Data Manager

Tucson, AZ · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the ...

Raytheon

Principal Analyst Data Manager

Tucson, AZ · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the ...

Raytheon

Principal Analyst Data Manager

Tucson, AZ

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the ...

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Showing results 1-20

All JobsProduct Data Analytics JobsProduct Manager Data Analytics JobsProduct Manager Data Analytics Jobs in Rio Rico, AZ

Product Manager Data Analytics information

See Rio Rico, AZ salary details

$45.7K

$141.6K

$175K

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

As of Aug 6, 2026, the average yearly pay for product manager data analytics in Rio Rico, AZ is $141,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $175,000.00 per year, depending on experience, location, and employer.

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.
Product Manager Data Analytics jobs near you
Infographic showing various Product Manager Data Analytics job openings in Rio Rico, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $141,572 per year, or $68.1 per hour.

Principle, Data and Analytics Architect

University of Arizona

Tucson, AZ • On-site

$60.25 - $77.50/hr

Other

Re-posted 25 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

383rd of 615 rated colleges and universities

Job description

  • Ensure delivery of the highest-quality Trellis data to the campus community by implementing robust data management processes across technology platforms, including MDM, Trellis, and UAIR data warehouse/data platform.
  • Interface with and support Data Trustees and data owners in understanding and fulfilling their roles within the Enterprise CRM data management process.
  • Lead the development and execution of strategy, methodologies, and outputs for product user-based analytics to improve product function, as well as product analytics to support institutional, organizational, and user-based program and product understanding.
  • Establish and support Trellis and campus efforts to model constituent outcomes based on Trellis data and the data platform.
  • Lead and collaborate to define data architectures and technologies necessary to deliver data management, data quality, and program/product analytics for Trellis. Support implementation of data management and integration technologies as necessary to support the data management and data quality objectives of the Enterprise CRM program.

Knowledge, Skills, and Abilities

  • Knowledge of standard product management and change management practices.
  • Knowledge of data analysis and reporting, particularly statistical analysis.
  • Knowledge of developing strategies and technical specifications for products.
  • Ability to evaluate risks related to data and identify appropriate security controls to mitigate risk.
  • Knowledge of leveraging Master Data Management concepts as part of an implementation strategy.
  • Ability to drive entrepreneurial projects, start new teams, and identify opportunities for impact in complex environments.
  • Working knowledge of CRM and marketing automation tools.
  • Ability to write complex queries against relational databases using a common query language, such as PL/SQL or T-SQL.

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