Data Analytics Lead (Senior Analytics Manager)

Singapore, Singapore, Singapore

Applications have closed

Love, Bonito

Women clothes that made with care, through thoughtful yet functional design details. Step into a journey of confidence and self-discovery with Love, Bonito.

View company page

About Us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are the leading direct-to-consumer womenswear brand, headquartered in Singapore, with an omni-channel presence across Indonesia and Malaysia, a retail franchise in Cambodia, and are fast expanding into international markets namely Japan, Hong Kong SAR China and United States of America.

Founded in 2010, we are proudly female-founded with more than 70% female representation across our organisation, leadership and STEM 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 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 & 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 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. In addition, you’ll play an important role in setting up best-practices and act as a leader and mentor for our data analysts and the broader team.


Main responsibilities

As our Analytics Lead, you will lead a team of data analysts and partner closely with the broader data team and cross-functional stakeholders to drive growth and efficiency across our business. This will include advancing our analytics capabilities across functions (from assortment to marketing) while enabling teams with on-going insights and decision support tools for better performance management.


Develop & manage a high-performing analytics team

  • Lead, manage and develop a high-performing analytics team
  • Develop and maintain framework, tools & best practices for the team to effectively scale
  • The key contributor to our organisation’s data strategy and roadmap - defining success metrics in close collaboration with the broader data org, business and functional stakeholders
  • Plan & manage analytics roadmap while partnering closely with the broader data organisation and business stakeholders
  • Share and demonstrate the team’s work and impact to the broader organisation


Analytics frameworks and insights

  • Create and drive the adoption of best practices & data framework so that data is analysed in an effective & unified manner across the business
  • Partner with strategic finance to develop & track business plan and OKRs
  • Define performance metrics, targets and ensure alignment across the company
  • Design, build and maintain user-friendly reporting framework & dashboards
  • Improve and maintain existing analytics framework (e.g. customer segmentation, product sorting)
  • Present, prepare and coordinate on-going performance reviews (e.g. weekly and quarterly)
  • Collaborate with functional teams to prioritise and solve business problems e.g. define problem, data collection requirements, transformation and execution of final solution, and present insights effectively through data storytelling to inspire action
  • Drive overall company trust, understanding and effective usage of data

Decision models and automation

  • Identify and scope new analytics opportunities with high ROI
  • Partner with business stakeholders to refine problem statements and translate those into analytics projects that can be clearly defined and strategically solved
  • Scop, plan and deliver analytics projects involving multiple stakeholders to achieve business objectives (ability to break down goals into 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)
  • Drive collaboration with data engineering and data science to develop robust solutions
  • 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
  • Coordinate sessions to review model performance, brainstorm and prioritise new opportunities


New data integration and data infrastructure

  • You’re a key contributor to the development of our data infrastructure and collaborate closely with our data engineers on a day to day basis to ensure development drives business outcomes.
  • Create impeccable and user-friendly documentation for data sources across the company
  • Validate data tables in data warehouse, refine logic and data transformation, and build aggregation tables to provide seamless reporting and data access across the business
  • Ensure high data quality, reliability, and visibility of our analytics stack and workflow
  • You’re a key contributor to the development of our analytics capabilities and collaborate closely with our data engineers to drive meaningful improvements that raises the quality and expands the scope of insights that it enables

Requirements

Qualifications & Technical skills

  • 5+ years of relevant analytics experience
  • Experience in a manager position within analytics team (BI/Analytics/Data science)
  • Experience communicating results to leadership teams to drive the strategy
  • Track-record of forming strong partnerships with cross functional teams
  • Highly proficient in SQL and Python for analytics contexts
  • Experience with data visualisation tools, preferably Tableau and Metabase
  • Knowledge of experimental design (A/B testing) and knowledge in statistical methods (experience in applying that to solve business problems)
  • Experience working with cloud infrastructure such as AWS will be advantageous
  • Experience in database and big data tools (especially AWS Redshift, Spark, Hadoop, Databricks platform will be advantageous)
  • M.S. or Bachelors degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Data Science, Mathematics, Computer Science, Engineering)

You should have/ be

  • A Love, Bonito Culture Fit
    • Good grasp of the Love, Bonito brand and unique proposition
    • A genuine curiosity to know how things work and how to make them better
    • An entrepreneurial, self starter, get-your-hands dirty attitude
    • Enjoy learning new things and pick them up quickly
  • A demonstrated past and present result-driven data obsession
    • Problem solver: You identify, scope and solve loosely defined problems; you design and execute logical action-plans so that challenges can be solved 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, explore data using tools such as SQL & Python
    • Business-driven: You always understand the business context first before diving deep into the data. You develop solutions and insights with business goals in mind.
    • Creativity & communication: Ability to think ‘out of the box’ and translating data into simple human language and compelling visualizations (data storytelling), to empower the broader organization to understand and leverage data
    • Relationship management: Good relationship management and ability to work with other functional teams.

Benefits

    1. Flexible Work Arrangement

    • Work from anywhere*!
    • Hybrid work and adjustable hours - as long as present during our core working hours
    2. Staff Wellness
    • Comprehensive corporate insurance (Fully covered visits at our panel clinics, Dental coverage, Maternity reimbursement for both our employees and their wives, Mental wellness support)
    • Tailored coaching services for mental wellness
    3. Learning and Career Development
    • Learning and development (i.e. subscription plans to best-in-class resources, personal development fund, etc)
    • Dedicated leadership training for those of managerial responsibilities
    • Friday pm off for learning
    4. #TeamLB perks
    • Generous staff discount off LB products
    • Corporate partnerships with a variety of companies
    • Welcome to #TeamLB swag and store gift cards (get your LB work outfit on us!)
    • Employee-driven peer-to-peer recognition platform to honor and celebrate everyday achievements
    • Internal Referral program

Tags: A/B testing AWS Big Data Computer Science Data Analytics Databricks Data quality Data strategy Data warehouse Engineering Finance Hadoop KPIs Mathematics Metabase OKR Python Redshift Spark SQL Statistics STEM Tableau Testing

Perks/benefits: Career development Flex hours Startup environment Wellness

Region: Asia/Pacific
Country: Singapore
Job stats:  19  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.