Senior Manager-Retail Analytics

Key Skills

Aartificial intelligence, Alteryx, Clustering, Data science techniques, ETL frameworks, JavaScript, Machine learning techniques, PowerBI, Python Programming, R Programming, SAS, SQL Server, Tableau

Job Description

The Merchandise Systems & Analytics team is part of Disney’s CPGP team, which creates and sells Disney product around the globe. We are currently seeking a Sr. Manager of Retail Analytics who will lead a team of data scientists, ensuring their work enhances business profitability, efficiency, and customer experience. This role combines data expertise, analytics, AI, and innovation to solve real-world challenges. Balancing data science research with business needs, the position provides executive summaries across the organization, utilizing business insight to uncover data-driven opportunities. The role facilitates collaboration between technical and business teams, aligning strategies and leading talent effectively. Professional communication, relationship-building, and business acumen are crucial for delivering solutions and recommendations.

This role will report to the Director of Retail Systems, Analytics and Reporting

You Will:

• Provide leadership and set strategic vision and direction for the data science team, focused on Omni Channel analysis across both Brick-and-Mortar and Ecommerce.
• Conduct business assessments, develop future state business models and architectures, recommend improvements and creating long range technology roadmaps.
• Engage stakeholders, align team priorities with company objectives, offer data-driven strategic guidance, and oversee project execution.
• Create profit optimization narratives for retail using data, analytics, AI, and solution engineering.
• Oversee the development of algorithm and pipeline development for dataset preparation and feature analysis.
• Drives team development and succession planning via coaching, mentoring, training, and leadership growth.

You Have:

• 7 years' experience, including 4+ years leading a sizable retail analytics and reporting team at an enterprise level.
• Proven skill in simplifying intricate problems, distilling data, and constructing persuasive narratives to guide decision-making.
• Excellent communication skills for effective interaction with both individuals and teams.
• Competence in translating highly technical analyses into understandable insights for non-technical stakeholders.
• Proven ability to rapidly grasp new technical systems and processes.
• Proficiency in troubleshooting and conducting comprehensive root cause analyses.
• Expertise in marketing experiment design, customer segmentation, and channel optimization.
• Proficiency in three or more key data technology domains:
• Data pipeline technologies and ETL tools (e.g., SQL, SSIS, Knime, Alteryx, Tableau Prep)
• Database platforms including Snowflake and SQL Server
• Data visualization and consumption tools like Tableau, MicroStrategy, Power BI, and Business Objects
• Scripting languages such as Snowscript, JavaScript, VBA, and Python
• Statistical and Data Science languages such as R, SAS, and Python
• Application of machine learning techniques
• Familiarity with advanced analytics methodologies like regression analysis, clustering, statistical inference, hypothesis testing, p-values, causal inference, and modeling techniques such as Random Forest, Bagging, Boosting, and Time Series analysis.

Nice to Have:

• Master's Degree in related field

Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits