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
A combination of data engineering + statistical analytics
Design, develop and implement data pipelines that ingest and transform large volumes of data, and scalable data models that power the core platform
Identify and study trends, perform ad-hoc analysis to generate insights that help clients navigate decision-making
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 a lead/senior Data Engineers based 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 Python in data transformation, cleaning, preparation etc.
Experienced in performing data enhancement or enrichment through various statistical analysis and methodology
Strong analytical mindset with a passion for working with numbers and turning data into actionable insights > ability to define and solve ambiguous, open-ended business problems through exploratory and analytical approaches
Excellent communication and problem-solving skills
Nice-to-have
Experience with Pyspark / Databricks / AWS cloud infrastructure
Background in consulting or a quantitative degree > Statistics / Economics / Mathematics / Finance
Grade | Level
100% individual contributor role
4-5+ years of hands-on data experience
Similar job titles - you are likely a Data Scientist (Product Analyst) / Actuarial Scientist or Analyst in your company
This role is NOT suitable for data analysts with experience of only building dashboards and automation
