Internship Business Computer Science Jobs in Tempe, AZ

Product Owner with Data Analytics Background
"Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics,
Engineering, or a related field.
• 10+ years of experience in Product Ownership, Product Management, Business Analysis, or
Data Product Management.
• Strong understanding of Agile/Scrum methodologies.
• Experience working with data warehouses, data lakes, and cloud platforms.
• Proficiency in SQL and data analysis.
• Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong stakeholder management and communication skills.
• Ability to translate complex business requirements into technical solutions"
Hands-on experience with data ingestion frameworks, data controls, and related operational Considerations Product Strategy & Vision • Define and communicate the vision, roadmap, and strategy for data products. • Align product objectives with business goals and data strategy. • Identify opportunities to leverage data for business growth, operational efficiency, and customer • experience improvement. Backlog Management • Create, maintain, and prioritize the product backlog. • Develop user stories, acceptance criteria, and functional requirements. • Ensure backlog items are well-defined and ready for development. Stakeholder Management • Collaborate with business leaders, analysts, data engineers, data scientists, and technical teams. • Gather and prioritize business requirements from multiple stakeholders. • Facilitate workshops and requirement-gathering sessions. Data Product Development • Lead the development of dashboards, reporting platforms, data pipelines, data marts, machine • learning products, and self-service analytics solutions. • Define KPIs, metrics, and success criteria for data products. • Ensure data quality, governance, and compliance requirements are incorporated into product • development. Agile Delivery • Act as Product Owner within Agile/Scrum teams. • Participate in sprint planning, backlog refinement, reviews, and retrospectives. • Make prioritization decisions to maximize business value. Data Analysis & Insights • Analyze business processes and identify opportunities for optimization through data. • Interpret analytical findings and translate them into actionable business recommendations. • Monitor product performance and user adoption using data-driven metrics
Role Descriptions: Bachelors degree in Business| Computer Science| Information Systems| Data Analytics| Statistics| Engineering| or a related field. 10+ years of experience in Product Ownership| Product Management| Business Analysis| or Data Product Management. Strong understanding of Agile/Scrum methodologies. Experience working with data warehouses| data lakes| and cloud platforms. Proficiency in SQL and data analysis. Experience with BI and visualization tools such as Power BI| Tableau| Looker| or similar. Strong stakeholder management and communication skills. Ability to translate complex business requirements into technical solutions.Roles & ResponsibilitiesHands-on experience with data ingestion frameworks| data controls| and related operational ConsiderationsProduct Strategy & VisionDefine and communicate the vision| roadmap| and strategy for data products. Align product objectives with business goals and data strategy. Identify opportunities to leverage data for business growth| operational efficiency| and customer experience improvement. Backlog ManagementCreate| maintain| and prioritize the product backlog. Develop user stories| acceptance criteria| and functional requirements. Ensure backlog items are well-defined and ready for development. Stakeholder ManagementCollaborate with business leaders| analysts| data engineers| data scientists| and technical teams. Gather and prioritize business requirements from multiple stakeholders. Facilitate workshops and requirement-gathering sessions. Data Product DevelopmentLead the development of dashboards| reporting platforms| data pipelines| data marts| machine learning products| and self-service analytics solutions. Define KPIs| metrics| and success criteria for data products. Ensure data quality| governance| and compliance requirements are incorporated into product development. Agile DeliveryAct as Product Owner within Agile/Scrum teams. Participate in sprint planning| backlog refinement| reviews| and retrospectives. Make prioritization decisions to maximize business value. Data Analysis & InsightsAnalyze business processes and identify opportunities for optimization through data. Interpret analytical findings and translate them into actionable business recommendations. Monitor product performance and user adoption using data-driven metrics.
Essential Skills: Bachelors degree in Business| Computer Science| Information Systems| Data Analytics| Statistics| Engineering| or a related field. 10+ years of experience in Product Ownership| Product Management| Business Analysis| or Data Product Management. Strong understanding of Agile/Scrum methodologies. Experience working with data warehouses| data lakes| and cloud platforms. Proficiency in SQL and data analysis. Experience with BI and visualization tools such as Power BI| Tableau| Looker| or similar. Strong stakeholder management and communication skills. Ability to translate complex business requirements into technical solutions.Roles & ResponsibilitiesHands-on experience with data ingestion frameworks| data controls| and related operational ConsiderationsProduct Strategy & VisionDefine and communicate the vision| roadmap| and strategy for data products. Align product objectives with business goals and data strategy. Identify opportunities to leverage data for business growth| operational efficiency| and customer experience improvement. Backlog ManagementCreate| maintain| and prioritize the product backlog. Develop user stories| acceptance criteria| and functional requirements. Ensure backlog items are well-defined and ready for development. Stakeholder ManagementCollaborate with business leaders| analysts| data engineers| data scientists| and technical teams. Gather and prioritize business requirements from multiple stakeholders. Facilitate workshops and requirement-gathering sessions. Data Product DevelopmentLead the development of dashboards| reporting platforms| data pipelines| data marts| machine learning prodComments for Suppliers:ROLE: Platform Engineer