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About Us
Operating in nearly 40 countries across the world, our purpose is to be the best part of the journey. Whether our customers are flying abroad on holiday, heading off on a business trip or commuting to work by train, we aim to offer them food and drink experiences that meet their many different tastes and needs.

What You’ll Get from Us
Our Commitment to learning and development is our commitment to unlocking our people’s success. We strive to provide a wide range of resources that boost our people’s skills today, and help them fulfil their potential tomorrow. No matter where you join us, you’ll have all the tools you need to take charge of your development. Surrounded by like-minded colleagues and guided by industry experts, it’s your career, your way at SSP.

Analytics Engineer, Asia Pacific

About the Role

Analytics Engineer, Asia Pacific

Reporting to the Senior Data Engineer, the role will play a crucial role in shaping our APAC data platform and will be the bridge between raw data and business insights, working closely with local country teams and our UK headquarters to unlock the value of our Oracle POS and inventory systems. 

Key Responsibilities

  • Data Pipeline Development: Build, maintain, and optimize data pipelines using Azure Databricks and Python to ensure clean, reliable data delivery.
  • Business Intelligence & Visualization: Design and develop interactive PowerBI dashboards for the internal APAC team to track key performance metrics and operational efficiency.
  • Complex Ad-hoc Analysis: Write advanced, highly-optimized SQL queries to extract actionable insights from large datasets (e.g., Oracle POS data, inventory logs) to answer critical business questions.  
  • Cross-Functional Collaboration: Act as the technical liaison between regional APAC offices and the UK Group, gathering requirements and translating business needs into scalable data models.
  • AI-Driven Productivity: Leverage AI tools and LLMs (e.g. Copilot) to supercharge your coding and analytical workflows, while strictly adhering to data privacy protocols to ensure sensitive company data is never exposed.

Person Specification

  • A bachelor’s degree holder, preferably in IT/Technology, Business Administration, Marketing, Project Management, or related disciplines
  • 1-3 years of experience in Data Analytics, Data Engineering, or a related role (Strong fresh graduates with relevant internship experience will also be considered) Able to communicate & summarize information clearly verbally and in written format.
  • High proficiency in SQL (ability to write complex joins, window functions, and CTEs).
  • Solid programming skills in Python for data manipulation and pipeline automation.
  • Familiarity with cloud data platforms (e.g., Azure, GCP, or AWS). Experience with Azure Databricks is a strong plus.
  • Hands-on experience with BI visualization tools, preferably PowerBI.
  • Hands on experience with AI tooling such as Microsoft Copilot or other LLM.
  • Strong business acumen and communication skills to effectively interact with stakeholders across different time zones.

 

SSP is proud to be an equal-opportunity employer, committed to recruiting and retaining talented individuals from diverse backgrounds.

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