Data Analyst Wagering

Tabcorp

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profile Job Location:

Sydney - Canada

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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-Wagering plays a central role in transforming raw data into actionable insights to support strategic and operational decisions. Operating with a high degree of independence this role involves owning datasets building reusable data assets with dbt designing analyses building scalable dashboards and collaborating across business functions.

Key Accountabilities:

  • Transform and analyse structured and unstructured data from multiple sources (databases API etc)
  • Develop and maintain reports and dashboards using BI tools (tableau).
  • Provide deep-dive analysis and ad-hoc reporting to support various business functions
  • Work closely with stakeholders to understand needs and deliver insights
  • Collaborate with cross-functional teams
  • Identify opportunities and insights in data and recommend actions to stakeholders
  • Document data processes and methodologies
  • Mentor junior data analysts

What youll bring

  • Bachelors degree in a quantitative field (e.g. Mathematics Statistics Economics Computer Science Business Analytics)
  • 2-4 years of hands-on data analysis analytics engineering or data engineering experience in a business setting
  • Experience working cross-functionally with business and technical teams
  • Strong SQL and python skills
  • Proficient in data visualization tools (esp Tableau)
  • Experience with spreadsheets (Excel for ad hoc work)
  • Working knowledge of Python or R for data manipulation and statistical analysis
  • Exposure to a modern data stack (e.g. Git SQL-based warehouses such as Databricks
  • Experience with data warehousing solutions Cloud-based tools such as Databricks AWS and dbt

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

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 pac...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics