Analytics Engineer

📋 Description

• Explore datasets to identify trends and anomalies.
• Analyze data to answer complex product, growth questions.
• Present findings clearly to inform decisions.
• Partner with product managers and engineers to refine questions.
• Build dashboards and reports with trusted metrics.
• Create reusable analytical models for repeatable analysis.

🎯 Requirements

• SQL to query and analyze real-world datasets.
• Python (Pandas) for analysis and modelling.
• Experience building dashboards and visualisations.
• Basic data modelling concepts: fact/dim tables and star schemas.
• Communicate analytical findings clearly to technical and non-technical audiences.
• Curiosity and a learning mindset to help others succeed with data.

🎁 Benefits

• Remote-first with asynchronous collaboration.
• 25 days annual leave.
• 10 days sick leave and carers leave.
• 12 weeks parental leave with flexible return options.
• Stock options.
• Transparent compensation with clear career pathways.