data science

Join to apply for the data science & analytics manager role at Starbucks Asia Pacific This role contributes to Starbucks’ success by empowering our AP partners with trusted data and advanced analytics to drive strategic decisions and sustainable growth. As a key member of the Data Strategy and Analytics team under the Finance organization, the data science & analytics manager plays a pivotal role in enabling data-informed decision‑making through advanced analytics, cross‑functional collaboration, and scalable data solutions. The ideal candidate is a structured yet creative problem solver, passionate about working with diverse teams, and thrives in a multicultural environment. This role translates business questions into analytics projects, synthesize insights, recommend course of action, while supporting data governance and stewardship efforts. The position requires close collaboration with markets, regional functions, global teams, technology partners, and external vendors to ensure the integrity, accessibility, and strategic use of data across our AP markets. Summary of Key Responsibilities Data & Analytics Generation Translate complex business questions into data science projects and determine appropriate analytical approaches, including the use of machine learning where applicable Conduct data extraction, cleansing, transformation, and exploratory analysis to uncover insights and support strategic decision‑making Develop and present insights and recommendations to stakeholders, ensuring clarity, accuracy, and business relevance Drive the adoption of analytics into business processes and oversee the end‑to‑end testing and validation of outcomes Works closely with data operations, engineering and platform teams to bring analytics use cases to live Project & Stakeholder Management Collaborate with cross‑functional teams to define project scope, establish milestones, and manage timelines for regional data initiatives Serve as a liaison between markets, regional functions, technology teams to ensure alignment on data requirements and project deliverables Manage the full analytics project lifecycle, including discovery, data preparation, model planning and building, summarize findings and post‑launch sustainment Data Stewardship & Governance Ensure data quality and consistency through diligent stewardship practices, including alignment of data definitions, aggregation logics, and quality threshold standards Promote the adoption of analytics and effective use of data by building capabilities, mentoring partners and advocating a data‑driven culture across the region Partner with stakeholders to socialize data pilots and prototypes best practices across the organization Education & Experience Bachelor’s degree in Business, Data & Analytics, or a related field, Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Economics) preferred 3-5 years relevant experience in data science, analytics, and data management, preferably in a regional or multinational environment Technical Proficiency Strong command of SQL and ETL tools (e.g. Alteryx, Synapse) with business‑applicable and performance optimization experiences Advanced competency in at least one analytic language (e.g. R, Python, SAS), solid machine learning techniques (e.g. regression, clustering, decision trees, anomaly detection, text classification) and applied statistical modeling experiences Well‑seasoned in data visualization tools (e.g. Tableau, Power BI) Knowledge of big data processing and data integration concepts Business & Interpersonal Skills Proven ability to apply analytical thinking to solve business problems, synthesize insights and influence decision‑making Strong project management skills with the ability to handle multiple workstreams, priorities and stakeholders concurrently Demonstrated ability to work effectively in a cross‑functional, multi‑cultural team environment, and acknowledge differences in ways of working Excellent communication and presentation skills with native‑level English proficiency, additional Asian language(s) a plus Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Analyst and Finance Industries Food and Beverage Retail, Retail, and Food and Beverage Services #J-18808-Ljbffr