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:
Under guidance of Decision Scientist extract data from various databases; perform exploratory data analysis, cleanse, massage, and aggregate data
Apply basic statistical concepts and descriptive statistics to understand and describe relationships in data
Under guidance of Decision Scientist build predictive models and complex descriptive analytics, clustering and market based analysis
Participate in discussions with business partners to define business question
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)
Contribute to analytic project proposals
Evangelize value of analytics and data among peers
New analysts in databases, tools, access, data prep techniques
Exposure and business-applicable experience in several techniques
Exposure and business-applicable experience in several tools
Exposure and business-applicable experience in several languages
SUMMARY OF EXPERIENCE
BASIC QUALIFICATIONS
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
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
Knowledge and applicable-experience on clickstream analytics for app and web
Retail, customer loyalty, and eCommerce experience, preferred
Starbucks is an equal opportunity employer of all qualified individuals; including minorities, women, veterans, and individuals with disabilities, and regardless of sexual orientation or gender identity. 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