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Starbucks

Runs coffeehouses and licenses its coffee brand

Decision Scientist - Market Planning and Business Systems

Data SciencePosted on Nov 6
Full-timeSeattle, WA, USANo salary listed

About the Job

Requirements

  • A Bachelor of Arts, Bachelor of Science, or equivalent experience; preferred concentrations include Statistics, Mathematics, Computer Science, Engineering, Economics, or Quantitative Social Science.
  • At least 1 year of experience performing data analysis and profiling using SQL and Python or R, with light methodological guidance from senior practitioners.
  • At least 1 year of experience with data visualization tools and techniques such as Tableau, Power BI, Shiny, or D3.
  • Ability to present complex technical material to nontechnical audiences in an approachable way.
  • Ability to independently use software and packages to create visualizations and dashboards intended to influence strategic and operational decisions.
  • Ability to interpret analysis or visualization results and communicate implications and recommendations, with light review.
  • Understanding of standards and best practices including version control, coding standards, documentation, storytelling with data, business data sensitivity policies, analytics best practices, and engineering best practices.
  • Understanding of Starbucks' business and general business acumen, including familiarity with business drivers in the relevant functional or domain area.
  • Ability to connect work products to business applications, with guidance as needed.
  • Ability to apply human-centered design principles while considering audiences and the business processes receiving the work.
  • Ability to contribute to requirements definition and interpret requirements to design analysis communication, with light supervision.
  • Ability to meet deadlines and communicate proactively about potential delays with light supervision.
  • Basic understanding of decision sciences and how to evangelize the capability.

Responsibilities

  • Access, prepare, and analyze complex datasets from multiple sources, including Databricks, AWS, Azure, SQL, Python, and Alteryx, to evaluate coffeehouse locations.
  • Identify anomalies, data gaps, and data quality issues, and work cross-functionally to resolve them.
  • Visualize findings clearly using Tableau and other industry tools.
  • Synthesize analytical findings into clear, actionable insights that illuminate tradeoffs and opportunities.
  • Present recommendations to nontechnical audiences in a concise, approachable way connected to business outcomes.
  • Identify emerging patterns and performance drivers across the development lifecycle.
  • Bring forward data-driven recommendations that influence long-term planning and capital deployment decisions.
  • Partner with teams across Coffeehouse Development, Finance, Operations, Data Science, and Data Engineering to integrate rigorous, relevant analysis into business processes and decision frameworks.
  • Work with data science teams to refine assumptions, validate model outputs, and ensure analytical tools represent coffeehouse dynamics and investment scenarios accurately.

Desired Qualifications

  • Experience working with geospatial data or geographic information systems for predictive modeling.
  • Previous experience supporting multi-unit retail or quick-service restaurant operations.

About the Company

Starbucks

Runs coffeehouses and licenses its coffee brand

Starbucks runs coffeehouses around the world that serve espresso drinks, brewed coffee, tea, and food, and it roasts the arabica coffee its stores sell. It grew from a single Seattle shop selling beans into the world's largest coffeehouse chain, and it helped make Italian-style espresso drinks such as lattes an everyday habit in the United States. Customers order at the counter, at drive-throughs, or ahead through the Starbucks app, whose rewards program trades points for free drinks and food. The company earns money from cafés it operates itself and from fees paid by licensed stores in places such as airports and grocery stores. Starbucks was founded in 1971 and is based in Seattle.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1971

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