Data Analyst

About us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia's leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower). We raised a US$50M Series C round in 2021 and know that we're on the cusp of something great, where we're working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There's a lot more work to be done with all of our exciting plans. So we're looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right).

The role

Reporting to the Data Science and Analytics Manager, this role is based in ID, where you will play a pivotal part in championing a data-driven approach in our decision-making through data analytics solutions, whilst driving the analysis and business planning to deliver value to stakeholders. From analytics, insight generation to data governance, you prioritise and influence data adoption across the company. This is a unique, exciting opportunity to influence key decision makers and make a positive difference to Love, Bonito.

Main responsibilities :

Dashboard & Reporting

• Design, optimize, and maintain intuitive performance dashboards that enable stakeholders to explore data independently and drive strategic decision-making

Forecasting & Modeling

• Enhance runrate projection models to improve forecast accuracy and align with business growth trajectories
• Develop data-driven models to forecast sales event performance, optimize campaign mechanics, and support merchandising strategy

Customer Analytics

• Build and maintain customer segmentation and market basket analyses to uncover cross-sell opportunities and inform merchandising decisions
• Conduct rigorous statistical analysis to identify trends, anomalies, and growth opportunities, delivering reusable, scalable analytical frameworks rather than one-off insights

Technical Optimization

• Evaluate existing aggregation tables for performance bottlenecks and scalability constraints, recommending optimizations that support long-term growth
• Automate recurring workflows to reduce manual effort, improve consistency, and accelerate business outcomes across teams

Documentation & Knowledge Management

• Document data models, business logic, and analytical methodologies to ensure solutions remain scalable and maintainable as the business evolves

Qualifications & Experience

• Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Computer Science, Engineering, Business) or related discipline. Master's degree is a plus
• 1-2 years of relevant experience in analytics, data science, or business intelligence roles (fresh graduates with substantial internship experience in analytics will be considered)
• Strong proficiency in Python, SQL, and statistics
• Self-starter who proactively identifies optimization opportunities and continuously improves solutions
• Stays current with analytics best practices and emerging tools, applying new learnings to enhance work quality
• Collaborative team player who takes ownership and drives projects to completion
• Familiarity with modern data lakehouse platforms (Databricks experience a plus)
• Experience with data visualization tools (Tableau, Metabase preferred)
• Experience in retail or fashion industry preferred but not required