Lead Data Analyst

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e-commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles. GFG’s platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group’s vision is to be the #1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do.

For more information visit: www.global-fashion-group.com

THE TEAM

The Data Team is an integral part of GFG team and is essential to enable a data-driven decision making culture. The Data team sits at the cross-roads of various departments ranging from Category Management (Buying & Planning), Finance, Customer Service, Marketing & Fulfilment Centre. It is an exciting place to be and allows us to provide unique insights about the business, its environment and the marketplace.

ABOUT THE ROLE 

We are looking for a Lead Data Analyst who is happy to play across the data spectrum - of data engineering, data science and eventually a bit of data translation of insights to English.

You should have a demonstrated passion for Data analysis in gathering data from various sources, reviewing and interpreting it using data analytics tools to provide meaningful information and insights to help the business to make better-informed decisions.

You will be reporting to the Head of Business Intelligence and will work with various counterparts in Singapore and Vietnam.

THE IMPACT YOU’LL MAKE

Your work will have a direct impact on shaping the future of how all the operations and decisions are enabled across 14 countries around the world, and will help run the group more efficiently and be on the leading edge of offering a seamless customer experience.

• Work closely with stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics, KPIs, and deliver actionable insights & dashboard to relevant decision-makers
• Analyze data to answer key questions with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Develop, maintain, and review the requirements, design and testing documentation
• Identify trends and opportunities for growth through analysis of complex data sets.
• Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.
• Manage external technical communication with partners and vendors.
• Contribute to adopting and improving data governance policies.
• Keep up with current technical and industry developments.
• Adhere to Data Governance as data auditor for reports/dashboards, analytics and insights.
• Training end users on new reports and dashboards.
• Review and signoff the design, troubleshooting & UAT documentation.
• Communicate solutions to stakeholders and drive improvements as needed.

WHAT WILL YOU BRING TO THE TEAM

• BS/MS in Computer Science or related technical discipline
• Demonstrable knowledge and application of data mining, data analytics and statistical modelling
• 5+ years of proficiency in any of the following programming languages: Python, R
• 3+ years of proficiency in any of the following BI platforms: Tableau, AWS QuickSight, Google Data Studio, Power BI
• 4+ years of Experience with database and datawarehouse technologies
• Experience with AWS or GCP cloud technologies
• Good writing and verbal English communication skills
• 5+ years of Stakeholder management

WHAT WE OFFER YOU

• The unique opportunity to have a serious impact on a growing organization
• A dynamic working environment shaping the face of fashion e-commerce in growth markets
• Work closely with a global talent pool with international mindset 
• #1 IT company to work for in Vietnam in 2021
• Best practice scaled agile engineering
• Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
• Hybrid working environment and work from home set up allowance
• Clear career progression plan and support
• English classes
• Macbook or laptop when you start
• Social insurance, medical insurance & health insurance
• 13th month salary
• 15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave
• Support for Gym membership

Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.