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Senior Analyst, WW Sales Finance- Advanced Analytics - APPLE

Summary

Role Number: 200046152

At Apple, your ideas tend to become a reality. We believe your ideas combined with your expertise help build extraordinary solutions that help change the world. Do you have a passion for data? Do you love building analytical solutions? Does using data to tell the narrative excite you?

The WW Sales and Operations Support team is seeking a qualified Senior Analyst with experience and expertise in data mining and applied statistics. We are a team oriented group focused on significant and exciting work. We are responsible for significant analysis for various partners to help drive Apple's business into the future.

You are a highly motivated individual who thrives in a dynamic environment and uses curiosity to do amazing work. You are detail oriented, have shown success meeting tight deadlines, flexible to priority changes and working with multi-functional teams.

Key Qualifications
  • Solid grasp of statistics, knowledge and experience building advanced regression models
  • Strong knowledge of data mining and reduction algorithms including decision trees, probability networks, association rules, clustering, factor analysis and principal components analysis
  • Hands-on programming skills in one or more open-source programming languages
  • Validated technical database knowledge (Oracle, Teradata) and experience optimizing SQL queries on large data.
  • Able to develop and present conclusions based on analysis to senior leaders
  • Extraordinary communication (written and verbal) and presentation skills
  • Excellent project management and consultative skills
  • Experience working with data related to retail sales a plus
  • Experience in additional data analysis and visualization tools (Tableau, Thoughtspot, Spotfire, etc.) a plus
Description

Conceive and implement analytic solutions using SAS, Python, R and other tools to support multi-function business units (sales, operations, finance, etc.)

Conduct regular/ ad-hoc analyses and data mining on internal and external data (transactional, demographic, marketing, etc.) to deliver actionable insights at tactical and strategic levels

Structure experimental design analysis to support new initiative design and follow-up with measurement to identify success and scalability

Provide robust analytical support through deep statistical modeling, data analysis and application of optimization techniques to drive business decisions globally

Liaise between the Advanced Analytics team and internal partners. Work across multi-functional teams (Sales, Finance, Operations, IT, etc.) to collect data and share analytical insights.

Present analysis results and recommendations to management through interactive dashboards, keynotes and financial playbooks.

Work closely with data warehouse architects and software developers to generate precise and scalable business intelligence solutions.

Develop data discovery and analytic dashboards to support both the Advanced Analytics team and key internal business partners.

Education & Experience

Graduate degree required in Statistics, Econometrics, Mathematics, Operations Research, Industrial Engineering, Business (with quantitative emphasis) or related field.

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

 

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