Data Scientist, Data and Analytics Licenses at Starbucks

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

129990.0

Posted On

30 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Problem Solving, Data Visualization, SQL, SAS, Python, R, Statistics, Project Leadership, Market Research, Business Acumen, Collaboration, Data Preparation, Data Manipulation, Data Methodologies, Communication

Industry

Retail

Description

Now Brewing - Data Scientist, Data & Analytics Licenses (In-Office - Toronto, Canada) #tobeapartner please note internal job title: Decision Scientist, Data & Analytics Licenses, Business Planning, Analytics & Insights 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. In this role you will be responsible for delivering data driven insights that drive tangible business outcomes. You will partnering with a variety of stakeholders including Finance, Marketing, Operations, Strategy and Technology teams to provide solutions to critical and high impact business problems. As Decision Scientist, you will Partner with business stakeholders to identify and clarify core problems and questions of interest through data driven insights. Use quantitative decision models and analytical methods to derive answers and recommendations. Design experiments to validate business decisions and measure impact. Develop dashboards, visualizations and reports to communicate insights to non-technical stakeholders. Work cross-functionally with data engineers to ensure data pipelines are integrated and robust Data Preparation: Extract and synthesize data from various databases, including Azure: data lake storage, SQL server and legacy systems: Oracle; perform exploratory data analysis, cleanse, massage, and aggregate data. Process 1st, 2nd, and 3rd, party customer data in next generation privacy compliant infrastructure. Data Visualization: Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Data manipulation and modeling: Procure and manipulate large-scale, complex data from a variety of systems (AWS, Azure, Oracle, on prem, web tool, etc.), reshape data to ensure it is in right structure for analysis, filtering and removal of outliers. Data methodologies and analysis: Handle and maintain the confidentiality of highly sensitive information required for statistical analysis and modeling techniques, including descriptive and predictive analysis and dashboards. Insights Operationalization: Present complex technical material to non-technical audiences in an approachable way. Provide analytic support (code documentation, data transformations, algorithms, etc.) to implement rules and model insights and recommendations into business processes. Collaboration: Collaborate with colleagues at all organizational levels and promote the discipline of data science in business decisions. We'd love to hear from people who are: Holding 1+ years experience in data analytics or a relevant field Holding a Bachelor's Degree with a concentration in Business, Stats, Math, Comp Sci, Engineering, or Economics. Very curious, love problem solving and asking why Always learning and seeking out new benchmarks and industry trends instead of relying on the norm Knowledgeable and understanding of Starbucks, Licensing and franchising business, food and beverage industry and general business and financial acumen. Experienced in problem identification, solutioning and validation efforts in a cross-functional environment Demonstrated experience with data visualization tools (e.g., Tableau, Power BI) and Microsoft Office Suite Demonstrated proficiency with SQL, SAS, Python or R Proven knowledge of statistics (descriptive, regression, etc.) Strong presenters with the ability to effectively communicate with stakeholders across functions, levels and divisions/departments Relationship builders with experience in project leadership in a cross-functional environment Experience with market research is considered an asset Compensation & Benefits The typical hiring range for this position is $95,500 - $129,990 CAD annually. Your base pay will reflect the market location and may vary based on your experience, skills, and internal equity. 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 tuition reimbursement, 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.ca for details. We believe we do our best work when we're together, which is why we're onsite four days a 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, 2SLGBTQIA+, 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 via email at applicantaccommodation@starbucks.com.

Responsibilities

You will be responsible for delivering data-driven insights that drive tangible business outcomes. This includes partnering with various stakeholders to identify core problems and using analytical methods to derive recommendations.