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Retail Finance- Financial Analyst - WW Stores

Apple
Posted 2 days ago, valid for 7 days
Location

Cupertino, CA, US

Salary

Competitive

Contract type

Full Time

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Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate complex challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As part of this group, you始ll play an integral role in ensuring our day- to-day financial health.

Description


This role will lead the creation of the Store Level Sales Forecast (SLSF) for 500+ retail stores Worldwide, informing staffing strategy / resource optimization and benchmark setting to drive commercial performance. It involves a mixture of weekly / quarterly responsibilities and project based / innovative time. Key business partners include: VP of Stores, WW Ownership Operations, Retail Store Analytics and Retail Finance teams.

Minimum Qualifications


3+ years of experience in finance, financial planning & analysis (FP&A), or a related quantitative field.Bachelor鈥檚 degree in Finance, Economics, Business, Accounting, or equivalent practical experience.Understand and work with complex data sets.Experience leveraging AI tools to transform processes and drive efficiencies in an organization.Analytical thinker and quick learner with demonstrated problem solving skills.Demonstrated success managing multiple activities, projects and priorities in a dynamic, fast-growing, results-driven environment.Independent and self-motivated.Ability to build effective partnerships in a cross-functional organization.Excellent oral and written communication skills, including executive level presentations.Experience with visualization and analytical tools such as Tableau

Preferred Qualifications


MBAExperience using Datakit



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