Analytical Buyer
Half-time and/or freelance possible
Responsibilities:
Data Analysis and Interpretation:- Analyse large datasets related to customer behaviour (generating from Google, Cross Point and other external data-points), sales, inventory, and marketing to derive actionable insights.
- Utilize clustering algorithms and customer segmentation techniques to identify and target specific customer groups for personalized marketing and product recommendations.
- Develop predictive models to forecast product demand, enabling effective inventory management and optimizing stock levels for popular basketball products.
- Support in optimizing the stock by providing guidelines in terms of Store Pick-up and Store Delivery from and to the warehouse.
- Support in optimizing the collections to be purchased per season in terms of quantities, colorways, product assortment, etc.
- Move Slow & Fast movers around to optimize overall BounceWear Sales performance.
- Collaborate with the pricing team to develop pricing models that align with market trends, competitor pricing, and customer preferences.
- Stay abreast of basketball industry trends and integrate relevant data to guide product offerings, promotions, and marketing strategies.
- Work with UX/UI teams to incorporate data insights into website and mobile app improvements, ensuring an optimal online shopping experience for basketball enthusiasts.
Implement recommendation algorithms to suggest relevant basketball products to customers based on their browsing and purchasing history.
A/B Testing:
- Design and conduct A/B tests to evaluate the impact of changes in marketing strategies, website features, or product offerings.
- Collaborate with marketing, sales, and inventory teams to align data-driven strategies and enhance overall business performance.
Qualifications:
- Advanced degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience applying data science techniques in a retail or e-commerce environment.
- Proficiency in programming languages such as Python or R and especially PowerBi
- Strong analytical and problem-solving skills.