{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Analyst","description":"About Global Fashion Group

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.

Since launching in 2011, THE ICONIC has redefined the future of retail in Australia and New Zealand. As the leading fashion, sports and lifestyle e-commerce destination in the region, our e-commerce platforms (Retail, Marketplace and Services) provide a seamless and inspiring end-to-end customer experience through our own technology innovations. We stand for benchmark-setting customer service, delivery options, returns policies, and curation of brands.

We are a diverse and dynamic community of over 1,000 people working towards our purpose “To bring on the future of shopping”. THE ICONIC is people and planet positive, and we strive towards creating a positive impact in the world by driving genuine and meaningful change for the better of all communities involved.

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

THE TEAM

Our data team knows our customers and their shopping habits better than they do. Have you ever noticed suggested items when shopping online? or maybe a matching item for something you have just added to your bag? That’s our team!

We use data analytics, data modelling and data forecasting to create a seamless customer experience, from suggesting sizes based on other brands you wear, to offering personalised product recommendations.

We are a driving force behind our business strategies and decisions. We are integrated into all departments to ensure all employees at THE ICONIC have access to good quality and timely data. From insights to extracts, we can assist.

SCOPE OF ROLE

As a Data Analyst with a focus on Business Intelligence (BI) sitting within the finance space, you'll be responsible for analysing data, creating reports, and supporting data-driven decision-making across the organisation. Your key responsibilities include:

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies. Use statistical methods, business and domain knowledge and analytical techniques to extract meaningful insights from complex datasets
Reporting and Visualisation: Develop and maintain interactive dashboards, reports, and visualizations using BI tools (e.g. Looker) to present data insights to stakeholders in a clear and actionable manner
Data Modelling: Assist in developing and refining data models to ensure data accuracy, consistency, and reliability. Craft tables for reporting or analytics end use cases
Finance area SME and Collaborator: Work closely with the finance departments, to understand their analytical needs and deliver relevant data-driven solutions
KPI Tracking: Monitor key performance indicators (KPIs) and create regular reports to track progress against business objectives
Ad-hoc Analysis: Respond to ad-hoc data requests and conduct exploratory analysis to address specific business questions
Optimise Personal and Team Workflow: Primarily with the use of in-house, modern Gen-AI tools, identify opportunities for automation and optimisation
Financial Data Analysis (Highly Regarded): Analyse financial data, identify issues, and support financial reporting and forecasting activities. Have knowledge of key financial concepts and their impact on the business
Continuous Improvement: Stay up-to-date with industry trends in data analytics and BI, and contribute to the improvement of data analysis processes and tools

What It Takes

Fluent English (written and verbal) — you'll present solutions and collaborate across timezones
Strong analytical and problem-solving skills
Experience in SQL, data modelling, data analytics, and data visualization
Proficiency in using BI tools (e.g., Looker) as well as traditional financial spreadsheet based tools
Ability to translate complex data into clear and actionable insights
Experience presenting findings to stakeholders
Familiarity with generative AI technologies, agentic AI and prompt engineering
Strong communication and collaboration skills
Degree in Computer Science, Statistics, Information Management, Finance, or other relevant field, or equivalent work experience

Ways to stand out from the crowd

Experience with DBT
Experience with Python
Google Analytics experience
GCP experience
Financial Data Analysis and Reporting

What We Offer You

The ability to cross train into DevOps/Platforms or Data Engineering
The unique opportunity to have a serious impact on a growing organisation
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.","datePosted":"2026-07-08","hiringOrganization":{"@type":"Organization"},"employmentType":"onsite"}