Senior Data Analyst — Customer Insights and Sales Forecasting

🏢 ABOUT THE COMPANY

Starbucks is a renowned global coffee company that was founded in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker in Seattle, Washington. With over 30,000 stores in more than 75 countries, Starbucks is committed to inspiring and nurturing the human spirit – one person, one cup, and one neighborhood at a time. Our mission is to be the best coffee company for our customers, employees, and the planet. We are passionate about creating a culture of warmth and belonging, where everyone is welcome.

🎯 ROLE OVERVIEW

This is a highly technical role within our customer insights and analytics team, where the successful candidate will play a critical part in driving business growth through data-driven insights and sales forecasting. The Senior Data Analyst will report to the Data Science Lead and will work closely with cross-functional teams to develop and implement data analytics solutions.

📋 KEY RESPONSIBILITIES

Develop and maintain large-scale data models to support sales forecasting and customer behavior analysis. Work with data engineers to ensure seamless data integration and processing. Identify and analyze complex data trends and patterns to inform business decisions. Collaborate with data scientists to develop and deploy machine learning models for predictive analytics. Develop and present insights and recommendations to senior leadership. Provide data visualization and reporting to support business stakeholders. Stay up-to-date with industry trends and emerging technologies in data analytics.

✅ REQUIRED QUALIFICATIONS

5+ years of experience in data analysis, data science, or a related field. Advanced degree in a quantitative field (e.g. mathematics, statistics, computer science). Proficiency in programming languages such as Python and SQL. Experience with data visualization tools like Tableau or Power BI. Strong understanding of machine learning algorithms and statistical modeling. Excellent communication and presentation skills.

⭐ PREFERRED QUALIFICATIONS

Familiarity with cloud-based data platforms like AWS or Azure. Experience with big data technologies like Hadoop or Spark. Certification in data science or analytics (e.g. Certified Data Scientist or Certified Analytics Professional). Experience working with large-scale data sets and high-performance computing environments.

💰 WHAT WE OFFER

£50,000 - £80,000 per annum (dependent on experience). Comprehensive health insurance package. Contributory pension scheme with 5% employee contribution. 25 days annual leave plus bank holidays. £1,000 annual training and development budget. Flexible working arrangements, including remote and hybrid options. Collaborative and dynamic team environment with opportunities for growth and development.

👥 ABOUT THE TEAM

Our customer insights and analytics team is a fast-paced and dynamic group that works closely with cross-functional teams to drive business growth. We are passionate about using data to tell stories and inform business decisions. Our team is collaborative and encourages open communication and knowledge sharing.

📨 HOW TO APPLY

Please submit your application, including your resume and a cover letter, to [insert contact email]. We look forward to hearing from you!

📋 Job Details

📨 How to Apply

Submit your updated CV and a brief cover letter to starbucks. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.