Data Analyst: Drive Global Insights & Strategy

Eucalyptus; Sydney; On-site; AUD 80,000 - 85,000; Full time

Benefits offered by this job

Employee options scheme

Development budget + 3 extra leave

Office socials

Job summary

Eucalyptus is seeking a data analyst to drive strategic insights, optimise our global data model, and empower teams with self-service analytics. You will collaborate with analytics teams across the UK and the Philippines to ensure scalable, consistent data for decision-making at local and global levels.

Ideal candidates have 2-5 years in data analytics, strong SQL/Python/Sheets skills, and a business-focused mindset to drive commercial outcomes and growth.

Qualifications

• 2-5 years of data analyst experience.
• Advanced analytical thinking with tool proficiency (SQL, Python, Sheets).
• Applied data science for commercial outcomes guiding business decisions.
• Ambiguity and fast-paced environment excites you and you work quickly to reach insights.
• You see beyond the data with strong business and commercial acumen.
• Attention to detail and high accuracy in data.
• Exceptional communicator who distills analyses into actionable insights.

Responsibilities

• Drive strategic insights – own analytical projects translating data into actionable decisions.
• Optimise data architecture – enhance central data model, ensure scalability and consistency.
• Empower data-driven decisions – elevate reporting and dashboards, enable self-service data access.
• Monitor performance & influence growth – track initiatives, identify trends, drive growth.

Skills

2-5 years data analytics experience

Advanced analytical thinking

Business acumen

Ambiguity tolerance

Strong communicator

Attention to detail

Curiosity/fast-paced

Tools

SQL

Python

Sheets

Job description

Eucalyptus is seeking a data analyst to drive strategic insights, optimise our global data model, and empower teams with self-service analytics. You will collaborate with analytics teams across the UK and the Philippines to ensure scalable, consistent data for decision-making at local and global levels.

Ideal candidates have 2-5 years in data analytics, strong SQL/Python/Sheets skills, and a business-focused mindset to drive commercial outcomes and growth.