Data Analyst

$90k-$100k + super

We're looking for a Data Analyst to join a growing data team and support the development of advanced analytical & AI capabilities across a large digital platform. This role is ideal for someone early in their career who enjoys working with data pipelines, analytical frameworks, and insights generation - and wants to grow their data and analytical skillset in a hands-on environment.

You'll be working closely with data, supporting real-world business use cases, and contributing to analytics and modelling projects that impact customers and the business.

• Supporting the development and improvement of analytical models and data assets

• Building and refining data pipelines, features, and reporting frameworks

• Working with Python and SQL across modern cloud-based data platforms

• Assisting with implementation of AI or machine learning initiatives across the business

• Analysing customer behaviour and engagement data to inform product, marketing, and retention strategies

• Translating business questions into practical data and analytical solutions

• Collaborating with engineers, data scientists, and non-technical stakeholders

• Communicating insights and recommendations clearly to a range of audiences

What we're looking for

• Around 3-5 years' experience in a data-focused or analytical role

• Strong coding or query experience in Python, SQL, or Javascript

• Exposure to machine learning or analytical model development

• Solid understanding of data engineering concepts (pipelines, data quality, feature creation)

• Familiarity with cloud computing fundamentals

• Curious and practical mindset - comfortable getting hands-on and learning as you go

• Able to explain technical concepts clearly and work collaboratively across teams

Nice to have

• Experience with Snowflake or similar cloud data platforms

• Exposure to Dataiku or other data science platforms

• Familiarity with modern ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)

• Understanding of model deployment, monitoring, or MLOps concepts

• Background in financial services, insurance, or member-based organisations
  

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