Starbucks is looking to solve business problems by enabling leaders to make informed, data-driven decisions through complex analyses, hypothesis testing, and measurement, leading to actionable insights that influence strategic business choices and drive measurable impact.
Requirements
- Proficiency in data visualization tools and techniques (e.g., Tableau, Power BI) to communicate insights effectively to technical and non-technical audiences
- Proficiency in coding languages for data preparation and modeling, including SQL for querying large datasets and Python for building pipelines and statistical models
- Solid understanding of statistical concepts, and techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems
- Demonstrated curiosity and analytical rigor, with a strong ability to explore complex datasets, identify patterns, and generate actionable insights
- Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
Responsibilities
- Conduct Exploratory Data Analysis - Analyze large-scale datasets through data wrangling, feature engineering, and statistical exploration.
- Build reusable data pipelines using tools such as Pandas, Databricks SQL, and Spark to uncover trends, prepare raw data for modeling, and generate actionable insights.
- Execute complex analyses and translate results into actionable insights through clear reporting and data storytelling, providing recommendations that guide long-term business strategies.
- Design intuitive dashboards and visualizations that simplify complex data, enabling leaders to quickly understand insights and make informed decisions.
- Partner with teams across data engineering, operations, product, supply chain, and more to translate business needs into scalable data science solutions.
- Work with the analytical team to design, enhance, and sustain statistical/analytical models tailored to specific domains such as store testing and experimentation, store development, supply chain, and marketing.
- Leverage historical data, domain attributes, and external signals to support the development of models that address diverse business challenges and enhance decision-making.
Other
- Minimum of 1 year of experience
- Excellent attention to detail, along with strong written and verbal communication skills to collaborate across cross-functional teams and present findings to stakeholders
- We believe we do our best work when we're together, which is why we're onsite four days a week.
