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Data Analyst

Megaport

Job Location:

Brisbane - Australia

Monthly Salary: Not provided by the employer

Posted: 4 September 2026 (11 hours ago)

Application Deadline: 2 December 2026

Vacancies: 1 Vacancy

Job Summary

About Megaport

Were not your typical tech company and we dont 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. Were 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

Were 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 everyones 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.

Were committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Dont meet every requirement Thats okay. If youre excited about this role we encourage you to apply.

Your Role

At Megaport we dont just connect networks; we reimagine what connectivity can do. Were 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.

What Youll 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

#LI-DNI

If you have any questions please reach out to Megaports Talent Acquisition Team at emailprotected

NOTE: All Megaport business correspondence is conducted via our business email accounts (@). If you have any concerns please reach out to Megaports careers team emailprotected 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 @.

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 youre 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 Megaports 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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