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analytics manager, Global Coffee (Remote) at Starbucks

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Full Remote
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Offer summary

Qualifications:

BA or BS in quantitative discipline or equivalent experience, 5 years of experience in data science, Highly skilled in MS Office applications, Tableau and Power BI.

Key responsabilities:

  • Lead data analytics initiatives for green coffee operations
  • Develop predictive models and forecasting to support long-term planning and drive quality improvements
Starbucks logo
Starbucks Retail (Super / Hypermarket) Large https://www.starbucks.com/
10001 Employees
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Job description

The pay range for this position may be narrower than that displayed, depending on where the work is performed.

Now Brewing – Analytics Manager! #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 position contributes to Starbucks' success by guiding business decisions for global green coffee operations and quality through utilizing data analysis and consulting those results in predicting outcomes, understanding complex data relationships, and developing a quantitative return on investment. This position will partner with multiple cross-functional teams to ensure seamless integration of data-driven insights into operational strategies and initiatives.

_As an analytics manager, you will…

_ - Lead data analytics initiatives for green coffee operation and quality to support business decision-making processes and drive strategic growth objectives. - Utilize advanced data analysis techniques to extract actionable insights from complex datasets, enabling informed decision-making at all levels of the organization. - Partner closely with cross-functional (planning, transportation, traffic, and trading) stakeholders to understand business requirements and develop analytics solutions that address key challenges and opportunities. - Develop predictive models and forecasting to anticipate future trends and outcomes, supporting long-term planning and resource allocation for global green coffee storage locations and drive medium to long term quality improvements. - Publish timely business metric reports - Consult with stakeholders on the results of data analysis, translating technical findings into actionable recommendations and strategic insights. - Help to define and shape business questions and translate them into actionable analytical questions. - Immerse with business partners to understand context and initiatives; serve as primary analytic resource in discussions to define and shape business questions. - Drive creation of business insights, visualizations, and recommendations; lead presentations - Drive the engagement, development, and performance of all members of their team. - Create and foster an environment that has a bias for innovation and action (fail fast).

Partner Development & Team Building - Providing partners with coaching, feedback, and developmental opportunities and building effective teams:

  • Challenges and inspires team members to achieve business results.
  • Provides coaching, direction, and leadership support to team members in order to achieve partners, business and customer results.
  • Oversees training and development of partners

We’d Love To Hear From People With

  • BA or BS with concentration in quantitative discipline (Stats, Math, Comp Sci, Engineering, Econ, Planning, or similar) or equivalent experience
  • Experience within data science or discipline (5 years)
  • Highly skilled and experienced in MS Office applications (Excel, Word, PowerPoint) Advanced skills in data visualization technology (Tableau and Power BI)
  • Project and/or program management experience
  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
  • Exposure and business-applicable experience in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)
  • Exposure and business-applicable experience in several data ETL (Oracle, SQL)
  • Big data processing techniques, preferred.

From free coffee to competitive pay, Starbucks is proud to offer a comprehensive compensation and benefits package to our eligible part-time and full-time partners. Benefits include 100% tuition coverage through our Starbucks College Achievement Plan , health coverage with a variety of plans to choose from, and stock & savings programs like our equity reward program, Bean Stock . What’s more, Starbucks offers flexible scheduling and opportunities for paid time off. Visit starbucksbenefits.com for details.

If you live in the greater Seattle area, we offer a flexible workplace that allows for hybrid work. Partners can work remotely up to two days per week. **

Join us and inspire with every cup. Apply today!

**_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 206-318-0660 or via email at applicantaccommodation@starbucks.com.

_

Required profile

Experience

Industry :
Retail (Super / Hypermarket)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Team Building
  • Microsoft Office
  • Leadership

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