19 days old

Senior Decision Scientist, Digital Optimization, Global Strategy - Starbucks

Seattle, Washington

Job Summary And Mission

This job contributes to Starbucks success by guiding business decisions through being able to interpret and visualize large scale data and outputs. You will be able to synthesize information to be consumed by business partners at all levels.There needs to be a focused attention on insights personalization that focuses on turning data into information.

Models and acts in accordance with Starbucks guiding principles.


Summary Of Key Responsibilities

Responsibilities and essential job functions include but are not limited to the following:

  • Own the capturing, analyzing, synthesizing, assessing, documenting, and verifying of business requirements, processes and workflows
  • Develop and deliver both regular and ad-hoc reports, and dashboard for leadership to help driven decision-making
  • Driver innovation and visualization technologies
  • Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements
  • Outstanding analytical skills, including translating unstructured strategic questions into structured knowledge and exploring relationships between multiple pieces of data
  • Lead innovative packaging and presentation of insights to business and broader analytics community
  • Manage, organize and present analytics data, key metrics and KPIs
  • Participate in workgroups, providing analytics data and insights to inform initiatives
  • Develop and drive multiple cross-departmental projects
  • Establish brand and team as subject matter experts in Analytics across departments
  • Working knowledge of tools (e.g. SQL, SAS, Hive) to pull and process data from various database environments.


Summary Of Experience

  • Years within data analysis field or discipline Minimum 3 Years Experience


Basic Qualifications

  • Education: BA/BS w/ concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar


Required Knowledge, Skills And Abilities

  • Business-applicable experience in several techniques for data visualization skills, e.g. Tableau
  • Ability to handle and maintain the confidentiality of highly sensitive information.
  • High proficiency with Excel including pivoting capabilities and analysis modules – VBA macros and ODBC sourcing
  • Working knowledge of basic statistics; experience with R, SAS or similar
  • Expert Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study to improve or expand databases
  • Retail, customer loyalty, and eCommerce experience, preferred


Core Competencies

  • 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, including minorities, women, veterans & individuals with disabilities. Starbucks will consider for employment qualified applicants with criminal histories in a manner consistent with all federal, state, and local ordinances.


  • Data Management
  • Software Engineering
  • Math
  • Statistics

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Senior Decision Scientist, Digital Optimization, Global Strategy - Starbucks

Seattle, Washington

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Seattle, Washington

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