The Senior Manager - Data Science & Analysis will lead the data science and analysis efforts within the Business Intelligence Center. They will be responsible for driving the strategic use of data to inform business decisions and initiatives, particularly in the areas of customer acquisition, retention, and win-back strategies.

• Develop and oversee the implementation of data science and analysis strategies that align with the company's business objectives.
• Lead the development of predictive models and algorithms to drive data-driven decision-making across the organization.
• Lead a team of data analysts and scientists to generate insights that are crucial for business decision-making.
• Conduct deep dives into data to enhance the company's understanding of customer behaviors and identify business opportunities.
• Take ownership of reports and dashboards, ensuring they provide actionable insights to the customer team and other business stakeholders.
• Collaborate with business stakeholders to analyze team activities and support the decision-making process.
• Work closely with the BI teams for in-depth data analysis to improve company understanding.
• Conduct hypothesis testing and lead the rollout of effective customer initiatives.
• Foster collaboration with various business stakeholders to align customer strategies with overall business objectives.

Qualification:

• Bachelor’s degree or higher in applied mathematics, economics, computer science, or data analytics.
• At least 7+ years of experience in data science, with a strong understanding of wholesales business and customer research integration with business planning.
• Proficiency in large-scale data analysis, including customer, hierarchy, and transactional data.
• Advanced data-processing skills with tools such as Excel, Tableau, Power BI, and statistical analysis tools (e.g., Python, SAS, or R).
• Experience in digital customer experience in a high-growth, fast-paced environment.
• Familiarity with Agile methodology is a plus.
• Investigative mindset with the ability to deep dive into data to understand the specific customer case behind a number.
• Strong will to learn and develop new approaches to data analysis.
• Self-motivated, well-organized, flexible, and result-oriented.
• Open-minded towards new ways of doing things and continuous improvement.
• Strong analytical and critical thinking skills.
• Ability to apply logic and business acumen to data analysis activities.
• Excellent communication skills with the ability to explain complex data concepts in simple terms.