Love, Bonito

NOTE: The following job description was extracted from public domain and published here as a value added service to BizLINKS Resources members. We are currently not a direct vendor to the above organisation and would be interested to work with the above through a internal organisation referral.

Data Analyst (Analytics & Strategy) at Love, Bonito

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

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


Full corporate insurance
Flexible work arrangements
Staff discounts
A dynamic, no corporate-BS environment to learn, grow, and really make an impact
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Email Employer:
Country: Singapore
Employment Type: Full time
Salary: Open