Flight Centre Travel Group
Singapore / Global
Singapore / Global
Senior Data Analyst, Asia | Turn Data Into Your Next Big Win.
Love uncovering insights and love solving complex problems? Are you a data expert ready to join a fast-moving growth company transforming the way the world's businesses travel?
At FCM, we combine cutting-edge technology with a
people-centric
mindset to transform our clients' travel programmes. Globally & locally connected, fun & energetic, flexible, and a little unconventional; that's our FCM way!
About The Opportunity
As a Senior Data Analyst for Asia, you'll play a critical role in transforming complex data into actionable insights that influence business decisions across the region. You'll lead data analysis projects, develop advanced analytics models, and collaborate with cross-functional teams to drive data-driven strategies that make a real impact.
We are looking for an
analytical thinker with deep technical expertise and excellent communication skills
who is ready to mentor others and elevate our data capabilities. With Data Engineering, Data Governance, and business teams supporting you, you'll be positioned to turn data into strategic advantage.
What You Will Do
Analyze large datasets to uncover patterns, trends, and insights that drive business decisions
Develop reports, dashboards, and visualizations using tools such as Power BI
Present data findings and recommendations to senior management and stakeholders
Conduct statistical analysis, predictive modeling, and hypothesis testing to solve complex business problems
Build predictive models and automated solutions using machine learning algorithms and data mining techniques
Partner with cross-functional teams (marketing, finance, operations) to translate business needs into data-driven strategies
Work with Data Engineering and Data Governance teams to ensure data quality, consistency, and reliability
Define data requirements and specifications to ensure accurate data collection
Train and mentor junior data analysts to elevate the team's technical skills
Identify opportunities to automate data processing, reporting, and analysis workflows
Utilize Python and SQL to optimize and scale analytics processes
Stay current with the latest trends and technologies in data analytics
Who We're Looking For
Bachelor's or Master's degree in Data Analysis, Statistics, Mathematics, Computer Science, or related field
4–6 years' experience in data analysis, business intelligence, or related field
Proven experience working with large datasets and performing advanced statistical analysis
Advanced proficiency in SQL and Python/R for data manipulation and modeling
Experience with data visualization tools (e.g., Power BI)
Strong analytical skills with ability to identify and solve complex problems
Excellent data visualization skills with ability to present insights to non-technical stakeholders
Deep understanding of data governance, quality, and management practices
Excellent communication and presentation skills—both written and verbal
Strong attention to detail, organizational skills, and time management
Ability to work independently and in teams, managing multiple projects and deadlines
Experience with cloud data platforms (AWS, Azure, or Google Cloud) is a plus
Knowledge of machine learning techniques and tools is a bonus
Our FCM Difference
We are fiercely proud of our company culture. Our employees are difference makers and here, you will find:
We are an inclusive bunch and encourage you to come as you are. Enjoy the freedom to be brilliantly yourself
Work life Balance: We believe in “No Leave = No Life” so have your own travel adventures with paid annual leave and access travel industry perks
Celebrate wins at legendary Buzz Nights and our top performers attend our mind blowing annual Global Gathering event
Brightness of Future - Advance your career locally or globally
At FCM, we're unconventional, always flexible, and globally connected. Come as you are, dream outrageously big, and help us transform the world of business travel.
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Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global