Data Scientist – Navigating The Data-Driven Career Landscape (47280)

About the role

You will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics.

Responsibilities

• Use your experience with forecasting, automating ETL processes, and designing and building analytical models using structured or unstructured data.
• Work directly with business partners and technology teams from problem identification to solution.
• Quickly become an expert in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store) and work cross functionally in an analytics center of excellence to improve existing processes or analytical approaches.

Requirements

You should have:

• Experience with forecasting, automating ETL processes, and designing and building analytical models using structured or unstructured data.
• Strong problem-solving skills and ability to work effectively with cross-functional teams.
• Expertise in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store).

Qualifications

You should have:

• A degree in a quantitative field such as statistics, mathematics, computer science, or a related field.
• At least 5 years of relevant work experience in data analysis, business intelligence, or a related field.
• Experience with SQL, Python, R, or other programming languages used in data analysis.
• Experience with data visualization tools such as Tableau, Power BI, or similar.

Skills

Skills required for this role include:

• Data analysis and modeling
• ETL process automation
• Forecasting techniques
• Data visualization
• Collaboration and communication with cross-functional teams

Benefits

Not specified

Pay

TBD

Schedule

Mon – Fri: 09:00AM – 06:00PM

Location

1236 Poydras St, Ste - 301A, New Orleans, LA 70113

Contact

(+1) 504-420-7800