JOB SUMMARY AND MISSION  

This job contributes to Starbucks success by guiding business decisions through utilizing data analysis and consulting that results in predicting outcomes, understanding complex data relationships, and developing a quantitative return on investment.  This position partners on a cross-functional team of data scientists, statisticians, and business analysts supporting strategic initiatives utilizing the latest in computing technologies and operating across customer transactions and data elements to unlock the opportunities to support our global business. 

SUMMARY OF KEY RESPONSIBILITIES  

Responsibilities and essential job functions include but are not limited to the following:  

• Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data 
• Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data 
• Builds predictive models and complex descriptive analytics, such as clustering and market basket analysis 
• Participates in discussions with business partners to define business question and to consult 
• Creates impactful visual representations of analytic insights and concise summaries of methodology geared to audience needs; presents selected portions to stakeholders 
• Provides analytic support (code documentation, data transformations, algorithms, etc.) to IT to implement analytic insights and recommendations into business processes (e.g., feed of modeling scores into campaign manager) 
• Contributes to analytic project proposals 
• Promotes and advocates for value of analytics and data among peers 
• Mentors new analysts in databases, tools, access, data prep techniques

SUMMARY OF EXPERIENCE       

• Years within data analysis field or discipline Minimum 1 year experience

 BASIC QUALIFICATIONS  

• Education: BA/BS with concentration in quantitative discipline - Statistics, Math, Comp Science, Engineering, Econ, Quantitative Social Science or similar discipline

 REQUIRED KNOWLEDGE, SKILLS AND ABILITIES  

• Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities 
• Exposure and business-applicable experience in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) 
• Exposure and business-applicable experience in several data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig) 
• Exposure and business-applicable experience in several analytic languages (R, SAS, SPSS, Stata)  
• Big data processing techniques, preferred 
• Retail, customer loyalty, and eCommerce experience, preferred

Starbucks is an equal opportunity employer of all qualified individuals; including minorities, women, veterans, and individuals with disabilities, and regardless of sexual orientation or gender identity. Starbucks will consider for employment qualified applicants with criminal histories in a manner consistent with all federal, state, and local ordinances.

Starbucks is about more than just a coffee; they're dedicated to employee and community growth. Starbucks even runs a program that pays for their baristas tuition to help them finish their education. That’s why when you launch your career inspired by human connection and the opportunity to become your personal best, the possibilities are endless. SCAP - Starbucks College Achievement Program