Mid-Level Data Analyst

About the role

Entain is looking for a Mid-Level Data Analyst to join its Data & Analytics team in Bowen Hills. The role works with teams across the business to understand their needs, build practical analytics solutions and turn data into clear insights. It suits someone who enjoys working with both stakeholders and data, and contributes to dashboards, reports, data models and analytical projects, exploring how AI and automation can make analytics more efficient and scalable. The position starts in the new year.

Key responsibilities

• Partner with business stakeholders to understand their goals, challenges and data needs
• Contribute to AI-enabled and agentic data workflows, including pipelines built with tools such as Claude and Snowflake
• Translate business questions into analytical approaches, dashboards, reports and datasets
• Build and maintain reporting solutions using Power BI and related tools
• Analyse data to identify trends, performance opportunities and actionable insights
• Support project scoping, requirements gathering, prioritisation and delivery
• Define success measures and track the outcomes of analytical work
• Review existing reports and recommend improvements to usability, consistency and quality
• Apply AI-assisted tools and automation to improve the efficiency and scalability of analytics
• Communicate findings clearly to technical and non-technical audiences

Required profile

• Experience in data analytics, business intelligence, reporting or a related role
• Ability to design or build AI-enabled or agentic workflows and data pipelines, particularly with Claude and Snowflake
• Good understanding of data modelling, semantic models and analytical datasets
• Ability to translate business needs into clear analytical solutions, solve problems and work with stakeholders
• Organised approach to managing requirements across multiple projects
• Understanding of data quality, governance and good reporting practices
• Applicants must be at least 18 years old due to the wagering nature of the industry

Required skills

• Power BI or a similar BI platform for reports and dashboards
• Data modelling and semantic models
• AI and automation tools such as Claude and Snowflake

What we offer

• Hybrid and flexible working
• Recognition and rewards, including retailer discounts
• Wellbeing support
• Workday extras: free breakfast, snacks and an onsite barista
• Office amenities: pool table, live sports and social activities