Main Duties & Responsibilities

• Perform exploratory analysis of complex datasets to identify trends, patterns, and opportunities for improvement.
• Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
• Collect, clean, and model data from multiple sources to support strategic decision-making.
• Design, build and deliver interactive dashboards and visualisations using Power BI and other tools.
• Monitor and optimise the performance of productionised datasets and analytics models.
• Create and maintain comprehensive documentation of data models, transformation logic, dataset architecture, and report design to ensure transparency, reproducibility, and effective knowledge sharing.
• Address ad-hoc data requests and incidents with high-quality, complete and timely solutions.
• Leverage DBT (Data Build Tool) to design and implement robust data models to transform raw data into structured, analysis-ready datasets that support accurate reporting and decision-making.
• Collaborate effectively within a team of data analysts to share knowledge, align on best practices, follow processes and deliver cohesive, high-quality analytical outputs that support business objectives.

 Skills and Experience

 The successful candidate will be able to demonstrate the following skills and experience:

• Tertiary qualifications in Data Science, Statistics, Computer Science, or equivalent demonstrable experience.
• Minimum 2 years’ experience in data analysis or a related field.
• Proficiency in SQL for data manipulation, querying, and modelling.
• Proficiency in data visualisation tools such as Power BI, including building semantic models and interactive visualisations.
• Experience with cloud-based solutions such as Snowflake.
• Strong analytical and problem-solving skills.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Ability to communicate insights clearly to technical and non-technical audiences.

Desirable

• Experience with version control technology such as GitHub.
• 
  

Main Duties & Responsibilities

• Perform exploratory analysis of complex datasets to identify trends, patterns, and opportunities for improvement.
• Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
• Collect, clean, and model data from multiple sources to support strategic decision-making.
• Design, build and deliver interactive dashboards and visualisations using Power BI and other tools.
• Monitor and optimise the performance of productionised datasets and analytics models.
• Create and maintain comprehensive documentation of data models, transformation logic, dataset architecture, and report design to ensure transparency, reproducibility, and effective knowledge sharing.
• Address ad-hoc data requests and incidents with high-quality, complete and timely solutions.
• Leverage DBT (Data Build Tool) to design and implement robust data models to transform raw data into structured, analysis-ready datasets that support accurate reporting and decision-making.
• Collaborate effectively within a team of data analysts to share knowledge, align on best practices, follow processes and deliver cohesive, high-quality analytical outputs that support business objectives.

 Skills and Experience

 The successful candidate will be able to demonstrate the following skills and experience:

• Tertiary qualifications in Data Science, Statistics, Computer Science, or equivalent demonstrable experience.
• Minimum 2 years’ experience in data analysis or a related field.
• Proficiency in SQL for data manipulation, querying, and modelling.
• Proficiency in data visualisation tools such as Power BI, including building semantic models and interactive visualisations.
• Experience with cloud-based solutions such as Snowflake.
• Strong analytical and problem-solving skills.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Ability to communicate insights clearly to technical and non-technical audiences.

Desirable

• Experience with version control technology such as GitHub.
•