- Deeply understand Apple's relevant business activities, commercial interests and related processes
- Partner with and train analysts to best use our data and technology infrastructure for building dashboards/reports and conducting analyses
- Proactively identify opportunities to improve processes, tools, or analysis, demonstrating intellectual curiosity beyond the immediate scope of work
- Translate opportunities/business requirements into technical requirements and work with technical partners to assess feasibility and form project plans
- Communicate the business value of proposed projects to senior leadership by framing opportunities in terms of impact, feasibility, and alignment with strategic goals, enabling effective prioritization and resourcing decisions
- Drive prioritized projects and communicate progress on planned milestones to senior leadership
- Collaborate with engineering and data partners to influence tool and pipeline design decisions that improve usability and long-term maintainability
- Document and share reusable frameworks, templates, and tools to improve onboarding and speed up solution delivery
2+ years consulting or financial/business/data analyst experience
BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
Knowledge of accounting principles, financial statements, and financial modeling
A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake)
Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
Strong verbal and written communication skills with ability to articulate results of analysis in business terms
Confirmed ability to conduct complex, data driven analysis
Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
Knowledge of SQL and working with large datasets
Experience with data analytics tools and languages (e.g. R, Python)
Experience building interactive data visualizations, strong storytelling skills (e.g. Tableau, Streamlit, Shiny)
Experience building/applying statistical and/or machine learning solutions to solve business problems