About Us
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 amp; 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 team
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!
The role
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.
Main Responsibilities:
Decision modeling and automation
- Scope new analytics opportunities with high ROI by engaging with various stakeholders across the organization to understand their decision making process and challenges
- Help stakeholders refine problem statements and translate those into analytics projects that can be clearly defined and strategically solved
- Scope and plan analytics projects with clear milestones, objectives, KPIs and deliverables
- Design, implement and maintain automated decision support models (from requirements gathering and impact estimation to final launch and performance tracking)
- Develop predictive models using a variety of statistical methods and machine learning techniques
- Automate and optimize decision making with techniques from operations research (such as linear programming and dynamic optimization)
- Work closely with technical and business teams to iterate solutions, A/B test and gather actionable feedback to continuously raise the standards of our analytics capabilities
- Participate and contribute in sessions to review model performance, brainstorm and prioritize new opportunities
- Proactively leverage resources from the open source community and research from academia to improve the standards of our models and analytics capabilities
Analytics frameworks and insights
- Design, develop and drive effective usage of analytical frameworks that unlocks business value (such as customer segmentation and loyalty program mechanics)
- Define performance metrics, targets and ensure alignment across the company
- Design, build and maintain user-friendly dashboards for tracking business health as well as performance of launched models and specific initiatives
- Present, prepare and coordinate on-going performance reviews (e.g. weekly and quarterly)
- Solicit feedback and provide insights through data storytelling and intuitive data visualizations
- Conduct training within the company to facilitate knowledge sharing and help drive our data culture and build up our in-house analytics and data science capabilities
New data integration and data infrastructure
- Scope and execute analytics projects with external and internal teams
- Ensure high data quality, reliability, and visibility of our analytics stack and workflow
- Contribute to the development of our analytics capabilities and collaborate closely with other members of the team to drive meaningful improvements that raises the quality and expands the scope of insights that it enables
Requirements
Important elements / ability to