Senior Data Analyst
Summary
A hands-on senior analytics role in Melbourne: dig into messy, large-scale enterprise data and turn it into dashboards, prototypes and actionable recommendations for a major Australian brand. Core stack is SQL and Python on cloud data platforms (Snowflake/Databricks) with BI tools like Power BI or Tableau.
You'll dig into messy, complex data and turn it into prototypes, dashboards and recommendations that people actually act on. This is a hands-on role -heavy on SQL and Python, grounded in modern cloud data platforms and focused on making technical work land with a non-technical audience.
You'll work closely with both business and technical teams to speed up good decisions and raise the bar on data quality across the board.
Responsibilities will include:
- Partnering with business stakeholders to understand challenges, identify opportunities, and define data-driven solutions that deliver customer, commercial, and operational value
- Analysing and interpreting data using SQL, Python, and modern visualisation tools to uncover insights, validate hypotheses, and support strategic decision-making
- Developing dashboards, prototypes, and proof-of-concept solutions to demonstrate value and refine requirements with stakeholders.
- Translating complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences
- Collaborating with cross-functional teams in an Agile environment, contributing to solution design, documentation, and delivery
- Driving continuous improvement initiatives across data quality, analytics capabilities, and reusable assets to enhance business outcomes
- Strong SQL & Python
- Experience with cloud data platforms (Snowflake, Databricks or similar)
- Experience with Power BI, Tableau or similar BI tools
- Understanding of data modelling principles
- Experience working with large enterprise data sets
- Knowledge of data governance, metadata and data quality concepts
- Strong stakeholder management and communcation skills