Data Analyst
Job No:
Red1155
Location:
Melbourne
It's exciting times here at Red Energy - 100% Australian owned, over 1000 employees and integration with Lumo Energy - this is a success story we're proud of. When we first entered the energy market in 2004 - we wanted to provide something different, to shake things up and we've been doing a good job of it ever since. Based out of the impressive Bryant & May building in East Richmond, we are looking for a Data Analyst to join our growing team and enhance our analytical capabilities.
The role will provide opportunities to engage with teams across the breadth of our organisation and with our external stakeholders to understand how data is utilised, then design, develop, implement and enhance data models to support data analytics, enterprise & regulatory reporting, machine learning and business intelligence.
To be considered for this role, you will ideally have:
- Experience in developing contemporary and sophisticated data management and analysis methodologies;
- Expertise in designing conceptual, logical and physical data models and managing the delivery of data using SQL Server Integration Services and other programming and data modelling tools;
- Demonstrated ability to define and contribute to analytical solutions for data problems, including delivering high quality reports to enhance management decisions;
- Proven skills in building and maintaining business relationships, with excellent communication skills and meticulous attention to detail.
- Experience working with SQL is essential. Power BI/Python for visualisation and analysis or similar preferred;
- Experience in the energy industry and/or with Google Cloud Platform will be viewed favourably.
Working out of our open plan, activity based, collaborative environment, this is your opportunity to develop and enhance our reporting and analytical framework along with providing reporting insights for strategic and tactical decision making.
Does this sound like you? Then please apply now!
For a copy of the job description, please click here!