Data Analyst

Edge Stackers offers a unique opportunity to join a rapidly expanding investment and technology company with a verified, robust and profitable track record ready for scale.

We are seeking an ambitious, competitive Data Analyst to join this expansion.

The successful candidate will be given the opportunity to share in the spoils of superior performance alongside the psychological comfort that comes with joining a profitable business about to scale and hit an inflection point.

Our standards are to out-think and out-work the rest. Your challenge will be to uncover innovative solutions enabling our team to capitalise on opportunities ahead of competitors.

The successful candidate will relish the challenge of attacking projects few can successfully complete, working as part of an experienced, best in class, close-knit team based on the Sunshine Coast.

We are fast-paced; the faster we iterate, the faster we can innovate.

You will be a valued team member, making a meaningful contribution to the company strategy, by generating insights using statistical analysis techniques, metrics and data.

There will be opportunities to shape the role to how you work best. Loyalty and humility are non-negotiable requirements.

Mandatory

• Experience in the gambling, wagering or sports betting industry.

• 5+ years of work experience.

• Minimum Bachelors Degree Qualification in Computer Science, Information Systems, Engineering or equivalent.

Skillset Required

• Strong SQL skills ability to write complex queries and optimise performance. Proficiency with Python or R for data analysis and modelling.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Strong understanding of statistical analysis techniques.

Responsibilities

• Apply statistical modelling and analysis, using machine learning and analytics to inform decisions.

• Generate insights and communicate these effectively through appropriate business reporting.

• Monitor, improve and automate processes by leveraging appropriate data analytics and metrics.

• Collaborate with engineering to ensure accurate data collection and integrity across platforms.