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 TEAM

Our 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 ROLE

We 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.

WHAT IT TAKES

• Bachelors or Masters degree is Computer Science and Engineering, Mathematics or Statistics.
• Proficiency in data analysis tools: Expert knowledge of tools like SQL, Python, R, AWS QuickSight, Tableau, Power BI, or other relevant software.
• Statistical and Machine Learning: Strong understanding of statistical concepts and machine learning algorithms.
• Cloud Platforms: Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) is beneficial.
• Nice to have: Understanding of HDFS, Spark, Presto, Airflow, Trino, Iceberg, Kafka etc.
• Nice to have: CI/CD, containerization, experience in data ecosystem

WHAT WE OFFER YOU

• The unique opportunity to have a serious impact on a well-established player in the fashion ecommerce industry across LATAM, SEA and ANZ
• Valuable experience as the business navigates a dynamic and evolving market landscape
• Work closely with a diverse and talented global team across 11 countries

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.