Job Description

The people here at Apple don't just create products-they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! As a Data Insights and Reporting Analyst in Apple's Sales organization, you'll play a key role in supporting our mission. Collaborating with Sales Professionals, Finance, Operations and Senior Leadership, you will deliver operational excellence by providing data insights, reporting, analytics, and tools to advance our strategic vision. We are searching for a student who can be flexible in the face of business ambiguity and eager to analyze/break down sophisticated datasets to derive clear decisions for our various business partners. This opportunity is located in Toronto for a fixed term period of 8 months commencing January 2026.

Description

This program offers mentorship and development to elevate your business experience and provide visibility to a wide spectrum of business functions at Apple. In this role, you will: - Partner with our sales team and finance professional to deliver data, insights, analytics, and reporting in different forms to drive business decisions. - Analyze and derive different business success measurements across the business from the consumer retailer and carrier space, to enterprise sales and training. - Capture, distill, and synthesize business requirements to help develop new analytics and data processing products and deliverables for the organization - Design and develop data ETL flows to help build out our data infrastructure of data sources and automation initiatives. - Maintain and build data automation flows to support business reporting. - Support the end-to-end development of analytics visualization tools using cutting edge tools.

Minimum Qualifications

Undergraduate or graduate studies in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or Engineering. Strong experience using Pivot Tables and Pivot Charts, Power BI, Tableau, and AI-powered platforms to derive business insights, decisions, modeling, and finance (VBA is a plus). Exceptional interpersonal, communication and presentation skills Flexibility to balance multiple responsibilities and tasks at the same time independently.

Preferred Qualifications

Quick to learn new skills and to ask questions to further understanding. Understanding of fundamental SQL, data principles, iterative computing, and logic: GROUP BY, JOIN, IF/AND/OR/ELSE, FOR/WHILE Loops. Exposure to data manipulation tools including Python, Pandas, KNIME, Alteryx, Tableau Prep, R, STATA, MATLAB, APIs PUSH PULLS, GCP, AWS, Azure. Experience with data visualization tools including Tableau, Power BI, Google Data Studios, Looker, MATPLOTLIB, or PLOTLY.


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