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

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.

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