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Megaport Linkedin · Posted yesterday

Data Analyst

Australia

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Your Role

At Megaport, we don’t just connect networks; we reimagine what connectivity can do. We’re a high-achieving global team on a mission to make networking simple, agile, and endlessly scalable for businesses everywhere.


We are looking for a Data Analyst to join our Marketing Operations team. This is a critical role that bridges data and marketing strategy. You will be responsible for defining key marketing metrics and audience segments through SQL, building impactful dashboards for performance tracking, and improving the overall quality and accessibility of our marketing data to drive actionable insights. You will be the engine behind our marketing intelligence, delivering data-backed insights that sharpen our strategy and directly amplify the effectiveness of the global marketing team.


If you are a detail-oriented analyst who enjoys solving complex data problems and values precision, accuracy, and clear communication, this is an excellent opportunity to make a tangible impact on our marketing intelligence stack.


About Megaport

Megaport is transforming how companies can build automated infrastructure at scale. We're global leaders in Network as a Service (NaaS) and Bare Metal Computing and a leading partner to Amazon, Microsoft, Google, IBM, Oracle, NYSE, and many other global tech companies. Megaport is a publicly traded company on the Australian Stock Exchange. We’re a lean, high-achieving team made up of over 500 members globally. While the company is headquartered in Brisbane, Australia, employees are spread out across North America, South America, Europe, and Asia-Pacific. Staff enjoy an environment that is collaborative, supportive, and fun.


Our Team Culture

Join a team of globally-positioned industry experts that lead by example. We do not compromise our values for commercial gain; we are all custodians of our culture, and the customer is at the centre of everything we do. Our employees are motivated, adaptable, persistent, hard-working, and dynamic. Our culture permeates everything we do and this, in turn, with a global vision, forms a commitment to each other, our customers, and shareholders alike.



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



If you have any questions, please reach out to Megaport's Talent Acquisition Team at [email protected]



NOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team [email protected] directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com".



All applications will be treated in confidence.

Please see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies.


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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