Data Analyst (Analytics & Strategy)

Love Bonito

Jakarta, ID
  • Job Type: Full-Time
  • Function: Business Intelligence
  • Post Date: 05/28/2021
  • Website:
  • Company Address: 21 Tai Seng Drive Suite 03-00, Singapore, 535223

About Love Bonito

Love, Bonito is a leading online female fast-fashion brand in Southeast Asia.

Job Description

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 & 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


Important elements / ability to

  • Communicate clearly and effectively in person, in writing, and in presentations
  • Scope and execute analytics opportunities & challenges independently
  • You break down goals into clear actionable tasks involving multiple contributors with timelines and support the team to achieve the final goal.
  • Ability to see the bigger picture and often foresee blockers ahead of time
  • Develop user-friendly, robust and accurate data solutions
  • Must be fast learner and able to learn independently
  • Investigate anomalies and proactively solve problems
  • Suggest best practices for the team and ensure robust documentation and alignment
  • Ability to handle multiple (and quickly changing) priorities and solve ambiguous problems in a fast paced environment
  • Good organization skills - a track record of meeting deadlines
  • Open to receiving and sharing constructive feedback
  • Strategic mindset coupled with excellent organizational skills and a business mindset

Qualifications & Experience

  • Proficient in SQL
  • Knowledge and experience with data visualization tools, preferably Tableau and Metabase
  • Knowledge in statistical methods and some experience in applying that to solve business problems
  • Ability to collect, clean, transform and analyse large amounts of data efficiently with attention to detail and accuracy
  • Experience with Python for analytics and machine learning contexts
  • Experience in data warehouse development, especially AWS Redshift, will be advantageous.
  • Experience with website tracking, especially GTM and Google Analytics would be advantageous
  • Strong interest and preferably direct experience with e-commerce and retail
  • 1-3 years of relevant industry experience, BA/BS or Master's degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Data Science, Mathematics, Computer Science, Engineering)
  • You enjoy working with data and all its faults, benefits and opportunities


  • Flexible work arrangements
  • A dynamic, no corporate-BS environment to learn, grow, and really make an impact
  • Competitive salaries
  • Remote Work Stipend
  • Laptop Stipend
  • Supportive and awesome international teammates

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.