Retail Finance Analyst - Process, Analytics, Reporting and Technology (PART)
Apple · Cupertino, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will own internal reporting, applications, and data optimization deliverables to support the Retail Sales Finance Organization. You will partner with business and finance teams to build tools and analysis that drive informed decision-making.
What they look for
Requirements
Candidates must have at least 3 years of relevant finance data analysis experience and a bachelor's degree in a quantitative or business field. Proficiency in SQL, financial modeling, and data visualization tools is highly preferred.
Full description
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
