JOB SUMMARY AND MISSION

This position 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 quantitative models for Information Protection Services. This position partners on a cross-functional team of risk analysts, information security engineers, and data security analysts supporting strategic initiatives utilizing data within information risk and security technologies to to support the mission, vision, and values of the Information Protection Services team in its role of protecting the Starbucks brand from security, compliance, and privacy threats.   

Models and acts in accordance with Starbucks guiding principles.  

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 Information Protection Services to implement analytic insights and recommendations into information security and risk program and processes 
• Contributes to analytic project proposals 
• Promotes and advocates for value of analytics and data among peers 
• Mentors others analysts in databases, tools, access, data prep techniques

SUMMARY OF EXPERIENCE                                                  

+--------------------------------------+--------------------------------------+ |   |   | +--------------------------------------+--------------------------------------+ | Experience in the data analysis |   | | field or similar discipline, (1 | | | year) |   | |   | | | | | |   | | +--------------------------------------+--------------------------------------+

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 experience in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)

• Exposure and experience in several data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)

• Exposure and experience in several analytic languages (R, SAS, SPSS, Stata)

• Big data processing techniques, preferred

-Experience with information security, risk or threat management principles, preferred  

Starbucks and its brands are an equal opportunity employer of all qualified individuals. We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at applicantaccommodation@starbucks.com

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