Data Analyst

Applications close on November 30th, 2025

Job Description

Easygo is a global leader in the iGaming and entertainment industry, powering some of the world’s most dynamic brands, including Stake.com, Kick.com, and Twist Gaming. Stake stands as the world’s largest crypto casino, offering an exceptional online casino and sportsbook experience; Kick connects millions of gamers and content creators worldwide through live streaming; and Twist Gaming delivers cutting-edge casino titles that redefine digital gameplay. Headquartered in Melbourne with over 600 employees, Easygo’s culture thrives on innovation, collaboration, and a passion for shaping the future of online entertainment.

Role Overview

Easygo is seeking a Data Analyst to transform complex datasets into actionable insights that inform strategic decisions across the business. This role is ideal for data professionals who thrive in fast-paced, technology-driven environments and are passionate about leveraging analytics to drive innovation in gaming, operations, and compliance. Working closely with the Business Intelligence and cross-functional teams, the Data Analyst will help make data more accessible, accurate, and impactful across the organisation.

What You’ll Do

- Collect, clean, and analyse large, complex datasets to uncover trends and actionable insights.
- Build and maintain reusable data models that support reporting and analytics at scale.
- Design and automate reports that enable informed decision-making across departments.
- Develop and manage interactive dashboards that track performance and business metrics.
- Identify and resolve data quality issues to ensure consistency and reliability.
- Translate complex data into meaningful narratives that support compliance, operations, and gaming strategies.
- Provide ad-hoc analyses and insights to support cross-functional projects.
- Contribute to the improvement of data workflows, documentation, and overall analytics processes.
- Support the development of scalable data integration and visualisation solutions.
- Stay up to date with industry trends, tools, and technologies to enhance data capabilities.
- Complimentary barista-made coffee, tea, fresh juices, and smoothies.
- Daily catered breakfast and regular company-wide events.
- Snack walls and drink fridges on every floor.
- Modern office with pool tables, table tennis, gaming consoles, and an F1 simulator.
- Access to an Employee Assistance Program for employees and their families.
- Over 9,000 learning courses available through the company’s Learning & Development platform.
- Weekly massage sessions by professional therapists.

Team Connection & Rewards

- Team budgets for lunches, celebrations, and activities.
- Participation in corporate sports teams and events.
- Easygo-branded merchandise and celebration vouchers for birthdays and anniversaries.
- Access to exclusive Formula 1, UFC, and major event ticket ballots.

Events & Experiences

- Company-wide talks with partners such as Everton FC and Team Sauber (Formula 1).
- Meet and engage with brand ambassadors including Alex Pereira and Israel Adesanya.
- Office visits from leading streamers and influencers.

Diversity & Inclusion

Easygo celebrates diversity and values the unique perspectives each team member brings. The company is committed to fostering an inclusive workplace where all employees, regardless of background, can thrive and contribute to a culture of innovation and creativity.

Qualifications & Requirements

- 2–3 years’ experience in data analysis, statistical modelling, or predictive analytics.
- Strong SQL and Python skills for data manipulation and analysis.
- Proficiency in data visualisation tools such as Tableau for building dashboards and reports.
- Experience with ETL processes and tools (e.g., Databricks, AWS Glue, or similar).
- Excellent ability to communicate technical insights to non-technical stakeholders.
- Familiarity with machine learning concepts or applications (preferred).
- Proactive and adaptable mindset suited for a fast-paced, dynamic environment.
- Strong analytical curiosity and a passion for turning data into meaningful decisions.

Qualifications & Requirements

- 2–3 years’ experience in data analysis, statistical modelling, or predictive analytics.
- Strong SQL and Python skills for data manipulation and analysis.
- Proficiency in data visualisation tools such as Tableau for building dashboards and reports.
- Experience with ETL processes and tools (e.g., Databricks, AWS Glue, or similar).
- Excellent ability to communicate technical insights to non-technical stakeholders.
- Familiarity with machine learning concepts or applications (preferred).
- Proactive and adaptable mindset suited for a fast-paced, dynamic environment.
- Strong analytical curiosity and a passion for turning data into meaningful decisions.

Bonus Skills:

- Experience in the sports betting, gambling, or cryptocurrency industries.
- Familiarity with Google Workspace, Slack, and JIRA.

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