Decision scientist - Market Planning and Business Systems

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

As a key analytical partner in the Development Strategy and Analytics space, you will shape the future of our Coffeehouse portfolio by bringing data‑driven clarity to how identify, we invest in, evolve, and optimize our current and future Coffeehouse Portfolio. You will collaborate closely with business and technical partners to illuminate tradeoffs, uncover opportunities, build predictive models, communicate results, and recommend actions that strengthen our Coffeehouses and deliver long‑term value.

• Analyze and model data:
  Access, prepare, and analyze complex datasets from multiple sources (Databricks, AWS, Azure, SQL, Python, Alteryx, etc.) to evaluate data on Coffeehouse Locations. Identify anomalies, data gaps, and quality issues, and partner cross‑functionally to resolve. Visualize with clarity via Tableau and other industry tools.
• Generate insights and communicate implications:
  Synthesize analytical findings into clear, actionable insights that illuminate tradeoffs and opportunities. Present recommendations to non‑technical audiences in a way that is concise, approachable, and connected to business outcomes.
• Proactively surface opportunities:
  Identify emerging patterns, performance drivers, across the Development lifecycle. Bring forward data‑driven recommendations that influence long‑term planning and capital deployment decisions.
• Collaborate cross‑functionally:
  Partner with teams across Coffeehouse Development, Finance, Operations, Data Science, and Data Engineering to ensure analytical work is rigorous, relevant, and integrated into business processes and decision frameworks.
• Support model development and validation:
  Work closely with data science teams to refine assumptions, validate model outputs, and ensure analytical tools accurately represent Coffeehouse dynamics and investment scenarios.

• BA/BS or equivalent experience, prefer concentration in Statistics, Math, Computer Science, Engineering, Econ, or Quantitative Social Science
• Minimum of 1 year of experience performing data analysis and profiling using SQL and Python or R, with light guidance from senior practitioners on methodology
• Minimum of 1 year of experience with data visualization tools and techniques (Tableau, Power BI, Shiny, D3)
• Prefer previous experience working with geospatial data or geographic information systems (GIS) for predictive modeling
• Previous experience supporting multi‑unit retail or QSR operations preferred
• Possesses outstanding collaboration skills with colleagues at an operational level
• Effectively presents complex technical material to nontechnical audiences in an approachable way
• Uses software and packages to create data visualizations and build dashboards, independently - with intent to influence strategic and operational decision‑making
• Interprets results of data analysis or visualization and communicates implications and recommendations, with light review from senior practitioners
• Adheres to standards and best practices (e.g., version control, coding standards, documentation, storytelling with data, business
• Has sound understanding of Starbucks business, and business acumen in general, including familiarity with business drivers in functional / domain focus area
• Builds connection between work product and business application, with guidance at times
• Applies key…