Campus Undergraduate Full-Time Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ

Quick Facts

You will join a full time graduate program as an Analyst Data Analytics colleague in Enterprise Technology Services to support analytics that helps technology teams understand portfolio performance, delivery progress, financial trends, resource utilization, and operational outcomes.

Description

This role sits at the intersection of technology, finance, portfolio management, reporting, and data analytics. You may gather and validate data, build reports, analyze financial or delivery metrics, support dashboards, develop insights, and prepare clear recommendations that help leaders and teams make informed technology decisions.

Responsibilities

• Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources to support analysis and reporting.
• Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and areas for follow up.
• Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership ready summaries for technology stakeholders.
• Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights that support technology portfolio and project decision making.
• Partner with technology, finance, product, project, and business teams to understand reporting needs and translate them into accurate analytical outputs.
• Support Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns.
• Prepare presentations, narratives, and stakeholder updates that communicate data backed insights to technical and non-technical audiences.
• Use Agentic AI, reporting, data analytics, and productivity tools to support research, summarization, analysis, workflow efficiency, and human validated outputs.

Requirements

• Bachelor’s degree in Business Administration, Finance, Information Technology, Information Systems, Business Analytics, Data Analytics, Computer Science, Economics, or another relevant field before the full time start date.
• Interest or experience in data analytics, financial management, portfolio reporting, technology delivery, business intelligence, or data informed decision making.
• Foundational knowledge of data analytics concepts: data collection, validation, analysis, visualization, and insight generation.
• Foundational understanding of financial management principles: budgeting, forecasting, cost tracking, variance analysis, or financial modeling.
• Awareness of Software Development Lifecycle and Agile methodology concepts within a technology delivery environment.
• Foundational understanding of Generative AI concepts, responsible use, appropriate use contexts, prompt based workflows, and human validation of AI generated outputs.
• Strong analytical thinking, attention to detail, communication, organization, problem solving, and collaboration skills.

Benefits

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities