This role requires proven technical skills and experience, and is NOT suitable for data analysts with experience of only building dashboards and automation Will only be considering local Malaysian candidates / candidates with dependant visa or talent-pass
Why are they awesome?
Data-driven technology spin off from a leading aviation strategy, logistics, air cargo consultancy
Building data driven SaaS tools that help airlines make informed commercial decisions from; routes, maintenance, demand planning, operations and forecast models
Work with a niche market leader, get international exposure & (optional) international travel
Projects
2 core SaaS products that are mature - actively used by customers & continuously evolving.
1 successful data product is already in place that provides market insights from the supply side. A new data product targeting the demand side is currently in its initial phase, with significant development and scaling planned for H2 2025 and into 2026
Role and responsibilities
Build / monitor and maintain existing data pipelines - you don’t have to be a technical expert, but you will get to grow your technical depth over time!
Oversee product usage metrics and customer health indicators
Acting as the “data quality police” - validating data inputs and flagging discrepancies
Team Org & Culture
Reporting to either the Head of KL office who is leading the core data product, or Head of Engineering who has relocated from EU to KL, while working alongside other analytics engineers and business data analysts across KL and EU
Entrepreneurial and ambitious team from KL and EU, which include ex management consultants
The engineering hub in KL (15 staff) supports software development, data engineering and analytics
Must-have skills
Proficiency in SQL and/or Python in data processing, transformation etc.
Strong curiosity and enthusiasm working with data
Excellent communication and problem-solving skills
Nice-to-have
Domain knowledge in cargo aviation
Experience with Pyspark / Databricks / AWS cloud infrastructure
Background in customer success, customer-facing analytics
Grade | Level
100% individual contributor role
4-5+ years of hands-on data experience
This role is NOT suitable for data analysts with experience of only building dashboards and automation
