BI Developer

at  Green Man Gaming

ABOUT GREEN MAN GAMING

Green Man Gaming is a multi-award-winning global retailer, publisher, distributor and technology business in the video games industry. Working with the world’s leading gaming brands, Green Man Gaming sells games to millions of customers across 195 countries via its market-leading eCommerce platform. This platform currently supports in excess of 1500 Publishers and Developers world-wide, and stocks 10000 titles.

ROLE OVERVIEW

Green Man Gaming is, at heart, a data driven company and the Business Intelligence team sits at its very core. We’re a team of seven from a variety of backgrounds with a shared passion for data, insight and analytics; championing a continuous learning mindset.
We’re looking for a BI Developer with a data analytics background to join the team at an exciting time for the business. Your work will focus on getting the most out of Green Man Gaming’s various data streams, building out and maintaining our existing ETL pipelines, supporting the development of new products and assisting the business’s critical decision making needs.
As a team we work with all other departments from Marketing, Trading, Engineering to Finance. This will require you to think on your feet and problem solve based on the needs of your colleagues, building solutions to help them answer business critical questions. You’ll be empowered to make your own decisions and manage your own workflow in a role with a focus on delivery rather than processes.
Green Man Gaming works remotely, but we’re a social bunch and organise monthly in-person working sessions and social events. We’ll of course also provide you the tools and resources to set up an effective home office. So, if you’re an inquisitive soul who is passionate about data and insight then we’d love to hear from you!

ROLE REQUIREMENTS:

• 2 to 3 years experience in Business Intelligence or data analytics.
• Analytical thinking and a keen eye for detail, able to make independent decisions and solve complex problems.
• Good people skills and the ability to run and manage complex projects.
• Proven experience working with relational databases or data warehouses using SQL.
• Can write fluently in data science languages such as Python.
• Experience with cloud based data warehouse technologies from providers such Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).