Data Science Manager

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Roles and Responsibilities:

The primary responsibilities of the Manager, Data Science and Business Analytics will include:

Data Analysis and Interpretation

• Conduct in-depth analysis of sales data to identify patterns, trends, and insights.
• Develop and implement data models to predict future sales performance and identify opportunities for growth.

Strategy Development

• Collaborate with cross-functional teams to develop data-driven sales strategies.
• Provide actionable recommendations based on data insights to improve sales performance and drive business growth.

Advanced Analytics

• Utilize advanced analytical techniques, include machine learning and predictive modeling, to derive insights from complex data sets.

Innovation and Continuous Improvement

• Implement continuous improvement initiatives to enhance the effectiveness of data analytics processes.
• Stay abreast of industry trends and emerging technologies in data science and business analytics.

Requirements and Specifications:

• Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field; Master’s degree preferred
• At least 5 years of experience in data science, business analytics, or a related field.
• Experience with sales data analysis and strategy development is highly desirable.
• Proficiency in statistical software and programming languages such as Python, R, SQL
• Strong understanding of data modeling, machine learning, and predictive analytics techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation abilities.
• Ability to work collaboratively in a cross-functional team environment.