Data Analyst - Risk
Data Analyst - Risk
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Job Description
Tabcorp is famous for winning moments. Behind (almost) all of them is great tech and a talented team of six hundred passionate technology professionals. Together we ensure our services are built sustainably to scale handling over 1 billion bets annually.
Our Tech Teams deliver gaming moments that pack a punch! You will have the opportunity to innovate and inspire leveraging technology to make good moments great. Game to join us
What youll do
The Data Analyst will adeptly translate complex data into actionable insights enabling data-driven decisions that drive the organisation toward its strategic goals. You will work closely with cross-functional teams primarily in the Risk business unit but not exclusively to identify business trends provide actionable insights and contribute to data-driven strategies.
Key Accountabilities:
- Support the Risk business unit with actionable insights through expert data analysis
- Validate risk system data for accuracy and reliability
- Analyse structured & unstructured data to uncover trends and patterns
- Design dashboards and reports using Tableau
- Translate business needs into analytical questions
- Support risk rule development and audits
- Present clear data-driven insights to stakeholders
- Collaborate with engineers to enhance data pipelines
- Monitor KPIs and support business reviews
- Identify commercial opportunities and lead data projects
- Build and maintain data models automation tools and dashboards
- Streamline processes from data intake to visualisation
What youll bring
- Degree in Analytics Computer Science Statistics or similar (Masters desirable)
- Degree in Analytics Computer Science Statistics or similar (Masters desirable)
- 2 years experience in data analytics (RiskAMLfraudfinancial crime experience essential)
- Strong communication stakeholder engagement and time management skills
- Proficiency in SQL Python Databricks Tableau Excel
- Solid grasp of stats techniques (regression forecasting algorithms)
- Proficient in data analysis tools and platforms including SQL Databricks Python Tableau and Excel
- Solid understanding of statistical analysis techniques such as regression forecasting and familiarity with data science algorithms
- Strong communication stakeholder engagement and time management skills
- Proficiency in SQL Python Databricks Tableau Excel
- Solid grasp of stats techniques (regression forecasting algorithms)
- Proficient in data analysis tools and platforms including SQL Databricks Python Tableau and Excel
- Solid understanding of statistical analysis techniques such as regression forecasting and familiarity with data science algorithms
About Us
Tabcorp is Australias leading gambling entertainment company. Our 3000 team is as diverse as Australia itself. Our people drive the iconic homegrown world-class brands TAB Sky Racing and MAX. As an ASX-listed company were proud to shape our industry for the better.
Apply Now
Now is the time to join Tabcorp! The start of a new exciting chapter in our long history. We have a dynamic new CEO in Gillon McLachlan and were building a winning culture by bringing our office-based teams together onsite every day. We value flexibility - like adjusting start or finish times however we believe being together is key to our success.
Were committed to creating an inclusive workplace where everyone feels valued for their contribution and has a sense of belongingand is treated with respect. As a Tabcorp employee you will:
- foster a respectful and inclusive working environment within your team;
- support and contribute to initiatives aimed at managing the risk of gender inequality sexual harassment and other inappropriate behaviour in our workplaces.
We welcome applications from candidates with visible and non-visible disability or with any workplace accessibility requirements. Please reach out viashould you require any accommodations or adjustments to ensure your full participation in our recruitment process.
Tabcorp is a Circle Back Initiative employer we commit to respond to every applicant.
Required Experience:
IC
Employment Type
Full-Time
