Starbucks | decision scientist – Labor, Reporting, & Data Analytics | Seattle, WA | United States | BigDataKB.com | 20 Oct 2022

Job Location: Seattle, WA

Job Posting

: Oct 19, 2022

Job Posting End Date

: Nov 2, 2022

Location

: US-WA-Seattle-Starbucks Support Center

Is this role eligible for remote or hybrid work? : Yes-Hybrid
Starbucks – Business Strategy

Schedule

: Full-time

Now Brewing โ€“ decision scientist – Labor, Reporting, & Data Analytics! #tobeapartner

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.

This job contributes to Starbucks success by guiding business decisions through discovering and sharing insights that deliver stakeholder outcomes. You will be able to apply research, statistics, and experimental design; synthesize, analyze, and implement and deploy models, dashboards, and storytelling presentations that support labor optimizations. There needs to be a focused attention on embedding analytics into labor operations and creating a data-driven strength which is evangelized organizationally. Models and acts in accordance with Starbucks guiding principles.

As a Decision Scientist, you willโ€ฆ

  • Execute extraction and synthesis of data from various databases, including Azure: data lake storage, SQL server and legacy systems: Oracle; perform exploratory data analysis, cleanse, massage, and aggregate data. Have the ability to handle and maintain the confidentiality of highly sensitive information required for statistical analysis and modeling techniques, including descriptive and predictive analysis (e.g. regression analysis, clustering, anomaly detection).
  • Effectively present complex technical material to non-technical audiences in an approachable way. Provide analytic support (code documentation, data transformations, algorithms, etc.) to implement rules and model insights / recommendations into business processes.
  • Use your working knowledge and understanding of Starbucks business, and business acumen in general, to collaborate with colleagues at all organizational levels, including both field operations / operations services, finance, and Starbucks Technology.

Weโ€™d love to hear from people with:

  • Education: BA/BS with preferred concentration discipline in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science or similar
  • Skills: Ability to handle and maintain the confidentiality of highly sensitive information.
  • Demonstrated experience with Microsoft Office, including PowerPoint
  • Proficiency with SQL and Python or R; familiarity with both preferred
  • Working knowledge of statistics (descriptive, regression, etc.)
  • Business experience with several data visualization tools (e.g., Tableau, Power BI)
  • Retail, customer loyalty, or eCommerce experience preferred
  • Years of experience in specific field or utilizing designated skills: Minimum 1 yearsโ€™ Experience

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.




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