Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company?
AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow.
Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region. With backing from our investors, including Blackstone, this is just the beginning…
Come join the A-Team at AirTrunk, where the cloud meets the ground.
A Snapshot
As an Associate Data Analyst in the Market Intelligence team, you will support the team’s data collation, cleaning, and automation efforts across AirTrunk’s APAC and EMEA markets. Working alongside the Data Analyst and reporting to the Manager, Market Intelligence & Strategy, you will focus on building reliable, reproducible data pipelines and maintaining the datasets that underpin AirTrunk’s competitive intelligence and market strategy.
This is an excellent opportunity for someone early in their career who is technically strong in Python and data manipulation, eager to learn the data centre industry, and wants to develop market intelligence skills in a fast-paced hyperscale environment.
Your Day to Day
- Data Collation & Cleaning: Support the end-to-end lifecycle of competitor, market, and site data. Clean, validate, and standardise datasets from multiple structured and unstructured sources to meet AirTrunk’s Source of Truth standards.
- Pipeline Development & Automation: Build and maintain Python-based data pipelines to automate ingestion, cleaning, and transformation of market and competitor data. Reduce manual effort and improve reproducibility.
- Competitive Intelligence Support: Assist in collating and structuring data on competitor footprints, expansion patterns, and capacity across APAC markets. Cross-reference datasets and flag inconsistencies or updates.
- Dashboard & Reporting Support: Help build and maintain visual dashboards and structured reports in Power BI or Excel that provide stakeholders with clear, up-to-date market views.
- AI-Assisted Workflows: Explore and implement AI-powered tools (Copilot, ChatGPT Enterprise, etc.) to streamline data processing and improve team productivity. Document approaches and share learnings.
- Cross-Functional Coordination: Work with internal teams to source data inputs and ensure data quality standards are maintained across shared datasets.
Requirements
- Degree or Diploma in Data Science, Computer Science, Statistics, Engineering, or relevant field. Recent graduates welcome.
- 0–2 years of experience in data analytics, data engineering, or a related field. Strong internship experience is valued.
- Python Proficiency: Demonstrated ability to write clean, reproducible Python code for data manipulation, cleaning, and automation. Experience with standard libraries (csv, json, re) and/or pandas.
- Data Quality Mindset: Careful attention to data accuracy, consistency, and documentation. You understand that clean data is foundational to good analysis.
- Excel & SQL: Comfortable with Excel for data manipulation and at least working knowledge of SQL for querying databases.
- AI & Productivity Tools: Familiarity with AI tools (ChatGPT, Copilot, etc.) and a willingness to experiment with them for data tasks.
- Communication: Ability to document your work clearly and communicate findings to team members. You don’t need to present to leadership yet, but you need to write things down well.
(Preferred)
- Experience with Power BI, Tableau, or similar visualisation tools.
- Exposure to geospatial data or GIS concepts.
- Familiarity with APIs, web scraping, or ETL pipelines.
- Interest in infrastructure, real estate, energy, or the data centre industry.
- Experience working with Jupyter notebooks or similar reproducible analysis environments.
Skills Required
- Degree or Diploma in Data Science, Computer Science, Statistics, Engineering, or relevant field
- 0-2 years of experience in data analytics, data engineering, or related field
- Proficiency in Python for data manipulation, cleaning, and automation (experience with csv, json, re and/or pandas)
- Strong attention to data accuracy, consistency, and documentation (data quality mindset)
- Comfortable with Excel for data manipulation and working knowledge of SQL for querying databases
- Familiarity with AI tools (ChatGPT, Copilot, etc.) and willingness to experiment
- Ability to document work clearly and communicate findings to team members
- Experience with Power BI, Tableau, or similar visualisation tools
- Exposure to geospatial data or GIS concepts
- Familiarity with APIs, web scraping, or ETL pipelines
- Interest in infrastructure, real estate, energy, or the data centre industry
- Experience working with Jupyter notebooks or similar reproducible analysis environments
What We Do
AirTrunk is an Asia-Pacific & Japan (APJ) data centre company with a powerful purpose – to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering data centres that meet the needs of our customers, the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow. We opened Australia’s first and largest hyperscale data centres in 2017, then set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APJ region. Joining AirTrunk is your chance to Grow@Hyperscale. It’s a once in a lifetime opportunity to fast-track your career and scale your impact. Certified as a Great Place to Work in Australia, Singapore and Japan and ranked #10 in Australia’s Best Workplaces™ for 2023, come and join the A-Team. To learn more, go to https://airtrunk.com/about-airtrunk
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