Senior Data Analyst

Global Fashion Group (GFG) is the leading fashion and lifestyle destination in Latin America, Southeast Asia and Australia New Zealand. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three ecommerce platforms: Dafiti (LATAM), ZALORA (SEA) and THE ICONIC (ANZ) connect an assortment of international, local and own brands to a market of 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. Our vision is to be the #1 fashion & lifestyle destination in LATAM, SEA and ANZ, and we are committed to doing this responsibly by being people and planet positive across everything we do. THE TEAMOur vision to bring affordable and sustainable fashion to customers in our markets is powered by technology and data. The GFG Data Team is an integral part of GFG and is essential to enabling 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. SCOPE OF ROLEWe are looking for a Senior Data Analyst who is happy to play across the data spectrum - of data engineering, data science and data analytics.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. HOW YOU’LL SUCCEED Senior Data Analyst will play a pivotal role in driving data-driven decision-making within the organization. The scope of their responsibilities will encompass the following key areas:Data Acquisition and Management Data Sourcing: Identify and acquire relevant data from diverse sources, including internal databases, external datasets, and APIs. Data Cleaning and Preparation: Perform data cleansing, normalization, and transformation to ensure data quality and consistency. Data Governance: Establish and enforce data governance policies to maintain data integrity and security. Data Analysis and Visualization Advanced Analytics: Employ advanced analytical techniques such as statistical modeling, machine learning, and data mining to extract valuable insights. Data Visualization: Create clear and compelling data visualizations (e.g., charts, graphs, dashboards) to effectively communicate findings to stakeholders. Key Performance Indicators (KPIs): Develop and track KPIs to measure business performance and identify areas for improvement. Business Intelligence and Reporting Business Intelligence (BI): Design and implement BI solutions to provide actionable insights for decision-making. Reporting: Develop and deliver regular reports on key metrics and trends to inform strategic planning. Ad-hoc Analysis: Conduct ad-hoc analyses to address specific business questions or investigate emerging trends. Collaboration and Stakeholder Engagement Cross-functional Collaboration: Work closely with teams across the organization to understand their data needs and provide tailored solutions. Stakeholder Communication: Effectively communicate complex data concepts and findings to both technical and non-technical audiences. Data Literacy: Promote data literacy within the organization to foster a data-driven culture.