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

• Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
• Employs scaling & automation to data preparation techniques
• Determines analytics approach to solve business problems; incorporates machine learning algorithms or linear programming where appropriate
• Connects insights to business decision making options and next steps testing or research opportunities 
• Understands business initiatives and serves as primary analytic resource in discussions with business partners to define business questions
• Drives creation of final insights package and recommendations; leads presentation
• Directs analytic component of implementation of insights into business processes and ensures appropriate testing takes place
• Develops project proposals, gains stakeholder buy-in, and ensures timelines are met
• Promotes and advocates value of advanced analytics to solve business problems within department
• Mentors data analysts in descriptive and predictive analytics

BASIC QUALIFICATIONS

• Education (minimum education level, degree or certification necessary): MS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline
• Skills (minimum skills required): 
  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
  • Advanced competency and expertise in at least one Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) with exposure and business-applicable experience in additional techniques
  • Advanced competency in linear programming and other optimization techniques (Gurobi, CPLEX) and exposure to commercial optimization platforms (LLamsoft Supply Chain Guru, a plus). 
  • Advanced competency and expertise in at least one Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig) with exposure and business-applicable experience in additional languages
  • Advanced competency and expertise in at least one Analytic Languages (R, SAS, SPSS, Stata) with exposure and business-applicable experience in additional languages
  • Big data processing techniques, preferred
  • Retail, customer loyalty, and eCommerce experience, preferred
• Years of experience in specific field or utilizing designated skills (minimum needed to be qualified): Minimum 3 Year’s Experience

Starbucks and its brands are an equal opportunity employer of all qualified individuals, including minorities, women, veterans & individuals with disabilities. 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