Operations Analyst at AirTrunk

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data modelling, Data transformation, Analytics, SQL, Python, Data solutions, Stakeholder collaboration, Data quality, Governance, Business intelligence, Data assets, Semantic layers, Performance analysis, Operational data, AI

Industry

Telecommunications

Description

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. Your Impact: Reporting to the AI ROC Lead, you will join the Operations Digital Solutions team, working at the intersection of operations, data, and technology to improve how data centres operate at scale. You will help modernise decision-making by shifting from traditional reporting to scalable data models built on trusted metrics, reusable data assets, and high-quality transformations. Your work will shape how operational data is structured, accessed, and used across analytics, business intelligence, and AI. What you’ll do: Build and maintain high-quality operational data products that drive business decisions Design reusable datasets, metrics, and semantic layers for scalable use across teams Partner with operations, AI, and data teams to deliver practical, impactful solutions Analyse performance data to identify trends, inefficiencies, and opportunities Enable self-service and “ask-my-data” capabilities through well-structured data assets Support the growth of AI ROC by improving data accessibility, quality, and usability What you'll bring: Experience in data modelling, transformation, and analytics (e.g. SQL, Python, or similar) Ability to translate business needs into scalable, reusable data solutions Strong stakeholder collaboration skills across technical and operational teams Commitment to data quality, governance, and continuous improvement The AirTrunk Culture Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst you’re helping scale our region’s digital future, we’ll help you Grow@Hyperscale and unleash your full potential. The pace in which we operate means you’ll feel an electric atmosphere at AirTrunk. We are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values, going above and beyond, and being dynamic, transparent, and responsive. Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged. Now’s your chance to Grow@Hyperscale. **To all recruitment agencies: AirTrunk does not accept agency resumes. Please do not forward resumes to our jobs alias, AirTrunk employees or any other organisation location. AirTrunk is not responsible for any fees related to unsolicited resumes.**

Responsibilities

You will build and maintain high-quality operational data products to drive business decisions and modernize decision-making. You will also partner with operations and AI teams to design scalable data models and enable self-service analytics.