Data Analyst

Megaport; City of Brisbane; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working environments

Birthday Leave

Parental leave (12 weeks)

Study leave (5 days)

Free barista coffee

Job summary

Megaport is seeking a Data Analyst to join the Marketing Operations team in Brisbane. You will define key marketing metrics, build dashboards, and improve data quality to drive insights and sharpen global marketing strategy.

The role requires 1–2 years in data analytics, strong SQL, and experience with BI tools (Tableau/PowerBI) and data warehousing platforms such as Databricks, BigQuery, or Snowflake. Proficiency in Python and collaboration across time zones is a plus.

Qualifications

• 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.

Responsibilities

• 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 modelling to help identify which channels generate the highest-quality pipeline.

Skills

SQL

BI tools

Python

Data warehousing

Databricks

BigQuery

Snowflake

dbt

PySpark

Marketing analytics

Tools

Tableau

PowerBI

Databricks

Snowflake

BigQuery

dbt

Salesforce

Job description

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.

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.

• 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 modelling to help identify which channels generate the highest‑quality pipeline

• 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

• 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 modelling, ELT/ETL concepts)

• 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

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