Deliver high-quality dashboards and reports to support business, product, and client decision-making.
Execute against reporting and analysis requests from internal stakeholders in a timely and reliable manner.
Support the ongoing delivery of Intelligence Reports and Performance Reports for the SaaS platform and enterprise clients where required.
Take ownership of assigned workstreams and follow tasks through from request to completion.
Write and maintain SQL queries within BigQuery to extract and analyse data from core sources including product databases and Stripe.
Leverage AI tools to increase efficiency in data access and querying, including rapid SQL generation, documentation, and complex data pattern exploration.
Build and maintain dashboards using Google Looker Studio, Google Sheets, and Retool.
Ensure accuracy, consistency, and reliability of data used in dashboards and reports.
Investigate data-related issues and anomalies, identifying root causes and working with relevant teams to resolve them.
Contribute to improving data access patterns and reporting structures; data modelling experience is a plus but not required.
Work closely with Product, Engineering, Customer Success, and Operations teams to understand reporting and data requirements.
Assist with investigating issues raised by merchants or clients, particularly where data analysis is required to diagnose or explain behaviour.
Provide clear, practical explanations of data insights to non-technical stakeholders.
Support limited client-facing interactions, with scope to increase exposure over time, particularly for high-touch enterprise clients.
Perform manual and ad-hoc operational tasks to support the business.
Continuously analyse and identify opportunities for broad process improvement and streamlining across BI and operational workflows.
Proactively explore and utilise emerging technologies, including AI, to enhance personal productivity and execute on the automation of routine tasks.
Bring an operations-minded, continuous improvement approach to day-to-day work.
Requirements
Experience in a Business Intelligence, Data Analyst, Analytics, or Operations-focused role.
Strong SQL proficiency and confidence writing queries to retrieve and analyse required data.
Experience working with BigQuery or similar cloud data warehouses.
Hands-on experience with reporting, data visualisation, and dashboard tools such as Looker Studio, Google Sheets, or similar.
Experience with Retool is highly regarded.
A capability or proven interest in leveraging emerging AI tools to drive efficiency and operational improvement.
Scripting experience (e.g. Python or similar) is highly regarded.
Strong analytical and problem-solving skills with excellent attention to detail.
Comfortable balancing data-focused work and operational tasks.
An interest in process improvement and operational automation.