NOW BREWING – DATA ANALYST, OPERATIONS - WORKFORCE MANAGEMENT

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“We built the Starbucks brand first with our people, not with consumers.  Because we believed the best way to meet and exceed the expectations of our customers was to hire and train great people, we invested in employees.”

– Howard Schultz, Chairman, Starbucks Coffee Company

  JOB SUMMARY AND MISSION

A data scientist contributes to Starbucks’ success by analyzing large data sets to identify strategic changes to our operating procedures and drive insight into current business trends.  The role will help to match customer demand with partner availability in order to optimize both the partner and customer experience.

The position reports directly to the program manager, Workforce Management

 SUMMARY OF KEY RESPONSIBILITIES

DATA PREPARATION AND ANALYSIS

·       Extract data from various databases cleanse and aggregate data and perform exploratory data analyses

·       Apply basic statistical concepts and descriptive statistics to understand and describe relationships in data

·       Help to build predictive models and complex descriptive and inferential statistics

DATA VISUALIZATION AND PRESENTATION

·       Create concise, easy to understand summaries of data, designed for a less technical audience

·       Present data visually and creatively to persuade stakeholders to action

PROJECT PLANNING AND EXECUTION

·       Helps to develop strategic and operational plans and measures results through automated dashboards

·       Provide analytic support (code documentation, data transformations, algorithms, etc.) to IT to implement analytic insights and recommendations into business processes (e.g., feed of modeling scores into campaign manager)

SUMMARY OF EXPERIENCE

·       At least 2 years of experience in Decision Science or Data Science

·       BA/BS w/ concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar.  Masters degree a plus

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES

·       Innovative, insatiably curious, keen critical thinking skills 

·       Business-applicable experience in several techniques for data visualization skills, e.g. Tableau

·       Working knowledge of basic statistics;

·       At least 1 year of professional experience with R

·       Big Data processing techniques, such as Hadoop / Hive preferred

·       Expert ability to collect data using a variety of methods, such as data mining & hardcopy or electronic documentation study, to improve or expand databases

·       Ethical rigor and unyielding integrity

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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. 

Starbucks is about more than just a coffee; they're dedicated to employee and community growth. Starbucks even runs a program that pays for their baristas tuition to help them finish their education. That’s why when you launch your career inspired by human connection and the opportunity to become your personal best, the possibilities are endless. SCAP - Starbucks College Achievement Program