Data Analyst

About Us

Love, Bonito is a digitally driven company on a mission to empower the everyday Asian woman and inspire self-confidence. We are the leading direct-to-consumer womenswear brand, based in Singapore, with an omnichannel presence across Indonesia and Malaysia, a retail franchise in Cambodia, and rapidly expanding into international markets including Japan, Hong Kong SAR China, and the United States of America.

Founded in 2010, we are proud to be female-founded with over 70% female representation across our organization, leadership, and STEM roles (#girlpower!). We raised a US$50M Series C round in 2021 and are on the verge of something great, 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 still much to accomplish with our exciting plans. So we’re looking to collaborate 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 team

The Love, Bonito team is a passionate, dynamic, innovative and fun-loving family. From fashion enthusiasts, astute marketers to tech experts, 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-driven yet considerate approach in creating the right experiences, products and content for her. With ambitious 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 a difference, we could be the perfect fit for you!

The role

You’ll have a front row seat to making an impact on women across the globe through fashion and data.

We’re seeking a junior to mid-level data analyst who will play a crucial role in promoting a data-driven approach in our decision-making and empowering our organisation 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. Moreover, you’ll play an important role in establishing best practices for our analytics workflow.

You should have / be

• A Love, Bonito Culture Fit
  • Good understanding of the Love, Bonito brand and unique proposition
  • A genuine curiosity to know how things work and how to improve them
  • An entrepreneurial, proactive, get-your-hands dirty attitude
  • Enjoy learning new things and pick them up quickly
• A proven results-oriented data obsession
  • Problem solver: You identify, scope and solve loosely defined problems; you design and execute logical plans of action so that challenges can be solutioned systematically
  • Analytical and data-driven: You love working with numbers and extracting knowledge from data. You’re extremely objective, thorough and diligent. You can also efficiently and independently query, manipulate, and explore data using tools such as SQL and Python
  • Business-driven: You are capable of quickly understanding new business contexts from business stakeholders, as per project requirements, and have the ability to apply this contextual information into the analysis or design of data products. You demonstrate business acumen and develop solutions and insights with business goals in the forefront.
  • Creativity & communication: Ability to think ‘out of the box’ and translate data into simple human language and compelling visualisations (data storytelling), to empower the broader organisation to understand and leverage data
  • Relationship management: Excellent relationship management and ability to work independently with business stakeholders from other functional teams

Main responsibilities

Decision modelling and automation

• Assist stakeholders in refining problem statements and translating those into analytics projects that can be clearly defined
• 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
• 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

• 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 ongoing performance reviews (e.g. weekly and quarterly)
• Solicit feedback and provide insights through data storytelling and intuitive data visualisations
• Contribute to the development of our analytics capabilities and closely cooperate with other team members, such as data engineers, data scientists, and other data analysts, to drive meaningful improvements

Requirements

Soft skills

• Capable of independently identifying and scoping business problems, loosely defined by non-technical stakeholders
• Ability to execute analytics projects by breaking down goals into clear actionable tasks
• Can effectively communicate with both technical and non-technical stakeholders during meetings, in writing, as well as through presentations and dashboards
• Willingness 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 some experience in applying that to solve business problems

Democratic to have

• BS 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<