This position is part of the Global Payment and Fraud team. This is the business team responsible for Global Payment and Fraud strategy and execution at Starbucks. Millions of times a day customers interact with Starbucks payment systems across physical and digital platforms and customers expect to securely and seamlessly interact with Starbucks payment systems. Your role is to create tools and perform analytics that provides actionable insights that enable ongoing business optimization and innovation for Starbucks Fraud and Payment.
You’ll be deeply embedded in the business where the output of your efforts will immediately improve Starbucks. You’ll help Starbucks figure out how we can make sure that we’re always reliable for our customers in an ever more complex environment. You'll build powerful new self-service tools to make it faster and easier to for your internal customers to act. Finally, you'll build tools that make it possible for us to find and fix problems quickly and efficiently.
We are a fast-paced environment, using agile methodology and tailoring our designs and implementation to the maturity of the business. Currently, we code in both Oracle PL/SQL and Microsoft BI platforms (SQL Server/Azure) and utilize Tableau as a visualization layer. This is always subject to change as new technologies emerge. Our supportive team culture encourages innovation and we expect developers and management alike to take a high level of ownership for the product vision, technical architecture, and project delivery.
SUMMARY OF EXPERIENCE
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
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 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
PUTS THE CUSTOMER FIRST: Has a relentless focus on the customer. Understands what the customer wants and how to best deliver the experience.
WORKS WELL WITH OTHERS: Listens and communicates well with others within and outside of Starbucks. Creates a team environment that is positive and productive.
LEADS COURAGEOUSLY: Takes personal responsibility to do the right thing, and persists in times of challenge or uncertainty. Adapts quickly to change and makes timely, thoughtful decisions.
DEVELOPS CONTINUOUSLY: Continuously seek opportunities to improve self and others. Leads with trust, honesty and commitment to hire, coach and develop partners to achieve their potential.
ACHIEVES RESULTS: Understands what drives overall business success and is accountable to prioritize and deliver quality results. Demonstrates knowledge of core products and processes to get results. Anticipates obstacles and takes action to prevent or minimize their impact.
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 firstname.lastname@example.org