Retail Finance Analyst - Process, Analytics, Reporting and Technology (PART)

Summary

The Retail Finance Process, Analytics, Reporting, and Technology (PART) team is looking for a motivated analyst to support Apple's growth, both top and bottom line. As part of this team, you will partner with business and finance teams to understand commercial initiatives and build the reporting, analysis, and tools that keep our finance organization operating efficiently and making well informed decisions.

Description

You will own internal reporting, applications, and data optimization deliverables that enable the WW Retail Sales Finance Organization to leverage opportunities and improve key finance capabilities. You’ll work independently with complex data sets, generated from equally complex business processes, and bring critical thinking to problems that are not always clearly defined.

Responsibilities

• Own and build dashboards, reports, and analyses built on our data and technology infrastructure.
• Translate business requirements into technical requirements and work with technical partners to assess feasibility.
• Identify inefficiencies and propose improvements to processes, tools, or analysis, balancing execution with critical thinking.
• Contribute to prioritized projects and drive progress on planned milestones, collaborating across related teams.
• Communicate the value and results of your work to stakeholders, using clear framing and storytelling to support decisions.
• Collaborate with engineering and data partners to improve tool and pipeline usability.
• Develop domain expertise in Apple's relevant business activities, commercial interests, and related processes.
• Document and share reusable frameworks, templates, and tools to help the team onboard and perform efficiently.

Minimum Qualifications

• 3+ years of relevant finance data analysis experience (FP&A, retail finance, revenue analytics, cost analysis etc.)
• BS Finance, Accounting, Economics, Business Analytics or quantitative field (Computer Science, Applied Statistics, Operations Research)

Preferred Qualifications

• MBA in Finance, Accounting, Economics, Business Analytics or quantitative field (Computer Science, Applied Statistics, Operations Research)
• Knowledge of SQL and working with large datasets
• Familiarity with people/HR systems and their data structures (e.g. ADP, Workday)
• Knowledge of accounting principles, financial statements, and financial modeling
• Experience building interactive data visualizations and telling a clear story with data (e.g. Tableau, Streamlit, Shiny)
• A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake)
• Extensive problem solving, and organizational skills, with the ability to adjust direction as priorities change
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Capable of conducting data driven analysis on problems of diverse scope
• Ability to self-start and operate independently, comfortable dealing with ambiguity