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Data Analyst

Megaport · Brisbane, QLD, Australia

Data Science / AI / Machine LearningExternal listingfull-time25 minutes ago

About The Role

About Megaport

We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.

Our Team Culture

We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.

We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.

What You'll Be Doing

  • Write SQL to define KPIs and audiences for marketing campaigns
  • Build and manage audience segments across our marketing and CRM platforms
  • Create reports and dashboards that give the team a clear view of channel and pipeline performance
  • Run funnel analysis, cohort views, channel diagnostics, and behavioural deep dives to understand what drives our customers
  • Help improve the quality, consistency, and accessibility of marketing data
  • Govern field definitions, segmentation rules, and data hygiene to ensure accuracy and trust in our systems
  • Support first-touch and multi-touch attribution modeling to help identify which channels generate the highest-quality pipeline

What We Require

  • 1-2 years of experience in data analytics, ideally supporting marketing, growth, or revenue teams
  • Strong SQL proficiency
  • Experience with BI tools such as Tableau or PowerBI
  • Experience with data warehousing concepts and cloud data platforms (Databricks, BigQuery, Snowflake, etc.)
  • Python experience for data analysis and automation
  • Ability to translate ambiguous questions into analytical approaches with clear, actionable insights
  • Comfortable working across globally distributed teams and time zones, with strong asynchronous communication skills
  • A proactive mindset and eagerness to improve processes, accuracy, and operational efficiency

Nice to haves

  • Hands-on experience with Twilio Segment.
  • Experience in audience segmentation for marketing
  • Experience with dbt for transformation and documentation.
  • Familiarity with PySpark and the Databricks environment.
  • Experience in marketing, especially digital or lifecycle analytics
  • Experience with Salesforce or marketing automation tools.
  • Data modeling fundamentals (star/snowflake schemas, dimensional modeling, ELT/ETL concepts)

What We Offer

  • Flexible working environments
  • Birthday Leave, 12 weeks parental leave (after 12 months continuous service), and 5 days of study leave.
  • Free, barista-made coffee (for Brisbane employees)
  • Creative, fun, and contemporary work environments
  • Motivated team of industry experts and plenty of learning opportunities
  • Celebrated success with internal awards programs
  • Health and wellness program

This is an external listing. JobSpring does not represent or verify the employer. Report this listing