About us
At Sportsbet, we’re united behind our purpose to “Bring Excitement to Life” for our 2 million customers (and growing!). We do this by over-delivering through our commitment to fun, challenging the status quo and living our values. As part of the Flutter Group, we’re a global player, but in Melbourne, Sydney and Darwin we’re a tight knit group of 1,300 teammates (of which over half are in our Tech and Data Science teams!). We are a significant contributor to the Australian economy through racing and sporting codes and we are committed to having a positive impact in society by supporting our customers, our communities and our employees. Our commitment to responsible gambling is demonstrated through our wide range of responsible gambling initiatives and tools.
In 2023, we were a recipient of LinkedIn’s Top 25 Companies for our focus on career development and acknowledged as one of the Top 10 Workplaces for Women through Work180. Our commitment to making Sportsbet the best place to work is never-ending.
We’re an inclusive employer who welcomes you for who you are, as you are – so, if you require adjustments to the recruitment process, please let us know in your application. We also know flex means different things to different people, so let us know how we can support you to be your best.
Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools – take a look: https://responsiblegambling.sportsbet.com.au/hc/en-us
About The Role
As a Data Business Analyst at Sportsbet you will be accountable for enabling the delivery of data driven outcomes and products.
These roles begin with early life initiatives, doing analysis to determine feasibility, acting as a liaison with business, translating their needs into a variety of requirements including process, data and integration specifications.
You’ll collaborate with a bunch of technologists to deliver new and innovative experiences to our customers and internal teams.
Responsibilities Include:
- Manage stakeholder engagement, communications, and outcomes for early data initiatives
- Gather and analyse requirements to define fit-for-purpose solutions