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Company

Love, Bonito

Address Kota Jakarta Selatan, Indonesia
Employment type FULL_TIME
Salary
Category Teknologi, Informasi, dan Internet
Expires 2023-09-13
Posted at 8 months ago
Job Description
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 Role


Reporting to the Finance Lead, this role is based in Jakarta, where you will play a pivotal part in this hybrid role of Data Analyst and Data Engineering, championing a data-driven approach in our decision-making through data analytics solutions, whilst driving the analysis and business planning to deliver value to stakeholders. From data analytic, insight generation to data governance, you prioritise and influence data adoption across the company. This is a unique, exciting opportunity to influence key decision makers and make a positive difference to Love, Bonito.


Main Responsibilities :


Data and Performance Analysis


  • Support marketing team by providing customer data and customer performance analysis
  • Analyse data and share actionables on weekly, monthly and quarterly meeting and on an on-going basis
  • Initiate alignment meetings with relevant stakeholders for performance analysis and strategy building
  • Develop user-friendly, robust and accurate data solutions efficiently
  • Design, build and maintain user-friendly dashboards for performance tracking
  • Performs forward-looking ad-hoc analysis, such as project & strategy evaluation, benchmarking, scenario analysis, etc
  • Support revenue teams by providing data and build its visualisation for special projects / country strategy preparation
  • Coordinate on-going performance reviews (e.g. weekly, monthly and quarterly) with teams to evaluate business health, identify areas for deep-dive and ensure aligned and effective sharing of on-going business recommendations from the data team to management and business stakeholders
  • Support merchandising team by providing accurate & reliable assortment data
  • Prepares, attends, minutes and keeps track of follow ups regarding performance and strategy meetings


Data Key Person for Indonesia


  • Perform ad-hoc coding to connect external platforms (ie, from Marketplaces) into internal data warehouses
  • Work closely with HQ Data Team in bringing real-world problems and converting them into data-centric issues for cross-country problem solving
  • Be the key person to collaborate closely with HQ Data team to provide performance data for ID teams


Requirements


Requirements & Experiences :


  • Experience with website tracking, especially GTM and Google Analytics would be advantageous
  • Strong interest and preferably direct experience with e-commerce and retail
  • Experience with SQL and Python
  • Open for Fresh Graduates with internship experience, with maximum 3 years of experience.
  • Experience with data visualisation tools, preferably Tableau and Metabase
  • You enjoy working with data and all its faults, benefits and opportunities
  • BA/BS with an emphasis on coursework of a quantitative nature (e.g., Statistics, Data Science, Mathematics, Computer Science, Engineering, Business) or related study and 1-2 years commercial experience preferably in the retail fashion industry


What You Should Be :


  • Highly meticulous and details-driven
  • Highly analytical and inquisitive - loves how numbers and data tell a story
  • Strong project management and multitasking abilities
  • Ability to communicate clearly and effectively in person, in writing, and in presentations
  • Highly self motivated, independent, hands-on with a get it down mindset!
  • A genuine passion and interest in fashion or e-commerce