Data Scientist – Revenue Analytics & Forecasting

Megaport; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working environments

Birthday leave and parental leave

Health and wellness program

Learning opportunities

Job summary

Megaport is seeking an experienced and business-oriented Data Scientist to scale analytics across the Revenue organization. This role will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership to improve forecasting, operational visibility, AI readiness, and data-driven decision making.

This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency,

Qualifications

• 5+ years of Data Science, Analytics, or Revenue Intelligence experience.
• Strong SQL, Python, and statistical modeling expertise.
• Experience with large operational and sales datasets.
• Experience building forecasting and predictive analytics models.

Responsibilities

• Develop predictive forecasting models and analytics frameworks.
• Analyze sales productivity, customer behavior, and revenue trends.
• Build scalable dashboards and operational intelligence solutions.
• Collaborate with Revenue Operations and Finance on KPI governance.
• Support AI readiness initiatives through data quality analysis.
• Improve GTM data architecture and data integration quality.
• Identify inefficiencies and propose data-driven improvements.
• Support executive decision making with advanced reporting.
• Model customer expansion, renewals, and churn analysis.

Skills

SQL

Python

Statistical modeling

Data visualization

Stakeholder collaboration

SaaS knowledge

Large datasets

Forecasting models

Job description

Megaport is seeking an experienced and business-oriented Data Scientist to scale analytics across the Revenue organization. This role will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership to improve forecasting, operational visibility, AI readiness, and data-driven decision making.

This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency,