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Director, Consumer & Partner (Employee) Analytics
Starbucks
Seattle, WA, United States
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Job Summary and Mission
This position contributes to Starbucks success by leading a team that serves as the champion of customer experience and employee analytics (people analytics). This leader will work at the unique intersection of Starbucks customer experience data and HR analytics to support strategies and illuminate truths that further our mission of inspiring and nurturing the human spirit. Ultimately, this team provides insights that help continuously drive our business, customer experience and partner (employee) experience in our stores.
This leader will possess strong analytic, storytelling and strategic consultation skills to influence business decisions, company strategy and growth
This leader manages a team of data scientists with the ability to run advanced analytics (including predictive modeling), data mine using complex queries, and synthesize output from multiple sources. The team is part of the company’s insights and analytics team, and works with research and analytics professionals who support all areas of the enterprise, and ultimately report into the COO.
This leader 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:
• Creates long-term strategy around partner (employee) and customer experience measurement, maintaining best in class analytics function through continuous innovation
• Possesses exceptional business acumen, with the ability to link insights to key business trends and company strategy
• Conceptualizes business problems from leaders and drives frameworks for applying analytics to business question; Also play critical role in identifying, tracking and interpreting KPI’s
• Upholds team to rigorous methodology on analytics project (e.g., reviewing statistical techniques, running analysis, and pushing beyond surface output)
• Builds strategic partnerships with other functions (e.g., Operations and Partner Resources (HR)) to enable intersection of partner, customer, and business support
• Proactive engagement with leadership across organization, identifying opportunities to influence through data insights and ensuring broad visibility to the team’s work and insights
• Delivers insights to leaders in a compelling way to drive change and influence leaders to make decisions
• Nurtures partnership with IT organization to drive forward the building of tools and databases, and ensuring ongoing support to enable efficient workstreams
• Builds and maintains a top caliber team of data scientists by providing training and development opportunities, and evolving the talent on the team to meet the business needs
• Prioritizes workload of team to ensure achievement of objectives, including identification and resolution of potential resource conflicts
• Challenges and inspires team members, fosters intellectual curiosity, and provides coaching and leadership support to team members in order to drive results
Summary of Experience
• Years in people or customer analytics (or related field) -- Minimum 10 Year’s Experience
• Years managing teams -- Minimum 4 years experience
Basic Qualifications
• Education: PhD or advanced degree in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, Psychology, or similar discipline
Required Knowledge, Skills and Abilities
• Ability to meet both the tactical needs of the team and provide the strategic vision necessary to move the team forward, and get maximum impact from analyses
• Deep technical, analytical and conceptual thinking, and analytics innovation
• Mastery of business applications and advanced analytics particularly using people data
• Comprehensive proficiency across an array of statistical techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)
• Proficiency with database systems (SQL, Oracle), preferred
• Deep HR/people analytics experience, preferred
• Proficiency across one or more analytic languages (R, SPSS, SAS, etc.)
• Retail experience, preferred
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.