Overview
The Business Intelligence Analyst will support the BI team in delivering accurate, timely, and insightful reporting across the business. This role involves building and maintaining dashboards, writing SQL queries, and working closely with stakeholders to understand their data needs.
Primary Location
This role is currently open to all locations within Australia.
Responsibilities
* Support stakeholders across departments such as Risk & Trading, Finance, Customer Operations, Compliance, and Marketing by building and maintaining dashboards and reports.
* Monitor and maintain existing dashboards, ensuring data accuracy, timely refreshes, and resolving any issues as they arise.
* Write and maintain SQL queries to extract, transform, and analyse data from various sources.
* Assist in identifying trends in customer behaviour, engagement, and preferences, contributing insights that support business decisions.
* Help maintain and improve existing reporting frameworks, ensuring data accuracy and consistency.
* Respond to ad‐hoc data requests and investigations, delivering clear and timely insights to stakeholders.
* Collaborate with the data engineering team to understand data models in Databricks and flag any data quality issues.
* Support the analysis of promotional strategies, helping assess cost‐efficiency in customer acquisition, retention, and reactivation.
* Contribute to the development of self‐service reporting capabilities for stakeholders.
* Follow and promote best practices for data accuracy, reliability, and governance.
* Manage BI assets using Git, following team version control standards and contributing to peer code reviews.
Skills & Qualifications
* A degree in a relevant discipline such as Computer Science, Data Analytics, Statistics, or a related field (or equivalent practical experience).
* Proficiency in Microsoft Excel, including formulas, pivot tables, and data manipulation.
* Experience with at least one Business Intelligence tool such as Power BI, Tableau, or AWS QuickSight.
* Working proficiency in SQL, with the ability to write, optimise and troubleshoot queries (2–3+ years' experience preferred).
* A foundational understanding of data warehousing concepts, data modelling and how data flows from source to reporting layer.
* Familiarity with Databricks or a similar cloud data platform, with a willingness to develop deeper expertise.
* Basic familiarity with Git for version control, including committing code and working within a shared repository.
* An analytical mindset with strong attention to detail and problem‐solving ability.
* Good communication skills, with the ability to present data findings to both technical and non‐technical audiences.
* A proactive self‐starter with a curious mindset and the ability to manage multiple tasks and prioritise effectively.
* Eagerness to learn and develop skills in advanced analytics and automation.
* An interest in or understanding of the wagering industry is desirable but not essential.
Benefits
* Five weeks of paid annual leave.
* Paid parental leave for primary and secondary caregivers.
* Sponsored flights between offices for staff and immediate family.
* Flexible working hours to accommodate cross‐country employees.
* Access to the Sonder app for mental health, medical advice, safety support and more.
* Up to 10% annual cash bonus based on company performance metrics.
Remuneration
The advertised salary for this position is $110,000 – $130,000 plus super and benefits with room to be flexible.
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