This role is perfect for someone who thrives in a fast-paced environment and enjoys bridging the gap between business and technical teams. You’ll work across multiple projects, ensuring data quality, supporting reporting, and helping the business understand how data flows through systems. While you won’t be writing code, you’ll need to read SQL and Python to diagnose issues and explain processes clearly.
Our client is a leading organisation offering finance products to a diverse range of customers. Their strategy is simple: digitalise everything they do to provide fast, scalable, and easy-to-use solutions that benefit their customers with better rates and faster service.
They value and celebrate diversity and inclusiveness in their workplace. As a Living Wage Employer, Hearing Accredited Workplace, and Rainbow Tick-certified organisation, they are committed to enabling their people to be authentic while helping them better understand and respond to their customers.
The Role
Analyse data and ensure accuracy and quality
Review existing code (SQL, Python) to understand and troubleshoot issues
Collaborate with business stakeholders to explain data processes and reporting
Work with Power BI and Excel for reporting and dashboards
Support data pipelines and transformations using DBT and Azure Data Factory
Jump across multiple projects, including regulatory reporting, integrations, and analytics
Ideal Person
Intermediate-level experience in data analytics
Strong communication skills to engage with demanding business users
Ability to read SQL and Python (no coding required)
Familiarity with DBT and data engineering concepts
Comfortable working in a busy environment with shifting priorities
Snowflake, Azure Data Factory, Stitch experience
Exposure to Data Vault architecture
If you are interested and have the skills and experience, APPLY NOW!
Robert Walters endeavours to review all applications in a maximum of five working days. If you have not received correspondence in this timeframe please do not hesitate to contact Eloise Gantuangco on +64 9 374 7332.