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About Us
Love, Bonito is a digital-first business with a mission to empower the everyday Asian woman and inspire self-confidence. We are the leading women's clothing brand that sells directly to the consumer. We are headquartered in Singapore, with an omnichannel presence across Indonesia and Malaysia, a retail franchise in Cambodia, and are quickly expanding into international markets namely Japan, Hong Kong SAR China, and the United States of America.
Founded in 2010, we are proudly female-founded with more than 70% female representation across our organization, leadership and STEM roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the brink of something great, aiming to become the most thoughtful brand globally for the Asian female consumer through our products, community, and experiences.
We have bold plans and there’s a lot more work to be done. So we are looking to join forces with people who are extremely passionate about making a difference and joining a dynamic team, in a workplace with no corporate boardroom antics.
The team
The Love, Bonito team is a passionate, dynamic, innovative and fun-loving family. From fashion enthusiasts, savvy marketers to tech geniuses, we have a diverse team of talented individuals with a common focus - our customer, the Love, Bonito woman. She is at the heart of everything we do and we always take an innovative, data-driven but compassionate approach to creating the right experiences, products and content for her. With lofty dreams and a grand mission, we’re on the lookout for great like-minded people to join us - people who are passionate, daring and entrepreneurial.
If you are seeking a dynamic, unorthodox corporate environment to learn, grow, and really make a difference, we might just be the perfect fit for you!
The role
You'll have a ringside experience in impacting women all over the world through fashion and data.
We are in search of a junior-to-mid-level data analyst who will play a strategic role in adopting a data-driven approach in our decision-making and enabling our organisation to act smarter, faster and more efficiently. Your responsibilities will include designing and implementing a range of data-enabled solutions, producing actionable insights, and launching direct decision outcome models to improve our business. Additionally, you’ll have a key role in setting up best practices for our analytics workflow.
You should have / be
- A Love, Bonito Culture Fit
- Strong understanding of the Love, Bonito brand and unique position
- Genuine curiosity about how things work and how to make them better
- Entrepreneurial, self-starter, hands-on attitude
- Enjoy learning new things and pick them up quickly
- Data-obsessed with proven results
- Problem solver: Capable of identifying, outlining and solving vaguely defined problems; apt at designing and executing logical action-plans to systematically address challenges
- Analytical and data-driven: Passion for working with numbers and deriving knowledge from data, being extremely objective, meticulous and diligent. Proficient and independent in querying, manipulating, and exploring data using tools such as SQL & Python
- Business-focused: Quick to learn new business contexts from business stakeholders as per project requirements, and able to incorporate this contextual information into the analysis or design of data products. Displays business acumen and develops solutions and insights with business goals in mind.
- Creativity & communication: Possess out-of-the-box thinking and the ability to translate data into simple language and compelling visual presentations (data storytelling), empowering the wider organisation to understand and utilize data
- Relationship management: Strong relationship management skills and the ability to work independently with business stakeholders from other functional teams
Main responsibilities
Decision modelling and automation
- Assist stakeholders in refining problem statements and translate those into analytics projects that can be clearly defined
- Work closely with technical and business teams to iterate solutions, conduct A/B tests and gather actionable feedback to continuously improve our analytics capabilities
- Develop predictive models using a variety of statistical methods and machine learning techniques (such as customer segmentation, loyalty program mechanics, sales forecast)
- Participate and contribute in sessions to review model performance, brainstorm and prioritise new opportunities
Analytics frameworks and insights generation
- Design 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 ongoing performance reviews (e.g. weekly and quarterly)
- Solicit feedback and provide insights through data storytelling and intuitive data visualizations
- Contribute to the development of our analytics capabilities and closely collaborate with other members of the team, such as data engineers, data scientists, and other data analysts, to drive meaningful improvements
Requirements
Soft skills
- Capable of independently discovering and scoping business problems, loosely defined from non-technical stakeholders
- Ability to execute analytics projects by breaking down goals into clear actionable tasks
- Efficient in communicating with both technical and non-technical stakeholders during meetings, in writing, and through presentations and dashboards
- Eager to learn and the ability to do so quickly and independently
Technical skills
- Proficient in SQL
- Experience with Python for data analytics: transforming and analysing large amounts of data
- Experience with data visualisation tools, preferably Tableau and/or Metabase
- Knowledge of statistical methods and experience in applying them to solve business problems
Preferred Qualifications
- ABS or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Data Science)
- 2-4 years of relevant industry experience, preferably in e-commerce, retail, or digital product development
