data science & analytics manager

Job Description - data science & analytics manager (250072952)

: CH-Hong Kong 

Starbucks - Business Data Services

data science & analytics manager 

Location: Hong Kong Support Center

Job Family: Finance

Now Brewing - Talent Seekers! #tobeapartner

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee but also connection. We are a neighborhood gathering place, a part of your daily routine. Get to know us and you will see: we are so much more than what we brew. We call our employees partners because we are all partners in shared success. We are known to develop and support partners who are guided by the passion of providing service to others. We make sure everything we do is through the lens of humanity—from our commitment to the highest-quality coffee in the world, to the way we engage with our customers and communities to do business responsibly.  

Our Mission: 

 To be the premier purveyor of the finest coffee in the world, inspiring and nurturing the human spirit - one person, one cup, and one neighborhood at a time.

The Hong Kong Support Center (HKSC) is the regional corporate hub for the 15 markets in the Asia Pacific region - Australia, Brunei, Cambodia, Hong Kong/Macau, India, Indonesia, Korea, Laos, Malaysia, New Zealand, Philippines, Singapore, Taiwan, Thailand and Vietnam. With over 5,700 stores, the region is a key growth driver for the organization. 

Job Summary and Mission

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

•    Bachelors degree in Business, Data & Analytics, or a related field, Masters 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

Our Promise

• Our partner promise: Bridge to a better future

• Our customer promise: Uplift the every day

• Our farmer promise: Ensure the future of coffee for all

• Our community promise: Contribute positively

• Our environmental promise: Give more than we take

• Our shareholder promise: Generate long-term returns

Let us give you the opportunity to be part of something bigger than yourself. It is time for you #tobeapartner. Apply today!

All partners (employees) and applicants will be treated fairly, without regard to gender, race, color, national origin, citizenship, religion, age, physical or mental disability, sexual orientation, marital/family status, gender identity or other factors protected by law. We have zero tolerance for any type of discrimination or harassment based on the foregoing.

Information :

• Company : Starbucks
• Position : data science & analytics manager
• Location : Hong Kong
• Country : HK