We pride ourselves as the best and largest vertically integrated, omni-channel women’s fashion brand in the region. Founded in 2010, we have grown to 250 people strong, proudly headquartered in Singapore with country offices in Indonesia and Malaysia and an omni-channel presence across these 3 markets. In addition to our retail franchise in Cambodia, we ship internationally to 15 markets (Hong Kong, China, Philippines and Australia, New Zealand, US, Canada, Macau, Japan, Korea, Vietnam, Thailand, Myanmar, Cambodia & Brunei).
We are taking our definition of new female retail global, with our sights set on becoming the most thoughtful brand for the everyday woman.
The Love, Bonito team is a passionate, dynamic, innovative and fun-loving family. From fashion-lovers, savvy marketers to tech whizzes, we have a diverse team of talented individuals with one unified focus – our customer, the Love, Bonito woman. She is at the heart of everything we do and we pride ourselves in always taking an innovative, data-centric yet considerate approach in creating the right experiences, products and content for her. With big dreams and a grand mission, we’re looking for great like-minded people to join us – people who are as passionate, fearless and entrepreneurial.
If you’re looking for a dynamic, no corporate-BS environment to learn, grow, and really make an impact, we could be the perfect fit for you!
Reporting to the Head of Data (HQ), you’ll have a front seat experience in impacting women across the globe through fashion and data. You will play a pivotal role in championing a data-driven approach in our decision-making and empowering our organization to act smarter, faster and more efficiently. You’ll be responsible for designing and implementing a variety of data-enabled solutions, generating actionable insights and launching direct decision output models to improve our business. In addition, you’ll play an important role in setting up best-practices for our analytics workflow and act as a mentor for our data analysts.
Decision modeling and automation
Analytics frameworks and insights
New data integration and data infrastructure
Important elements / ability to
Qualifications & Experience