2 of 2 Data Analytics Manager Jobs in Newcastle upon Tyne

and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown. Job Description We are looking for a talented and passionate Data Analytics Manager to come and work within the CRC Analytics team. The suitable candidate will be a driven self-starter, looking to build on their Analytics & Data Science career, with one of the biggest gaming companies in the world. As the Data Analytics Manager, you will be responsible for looking into the deeper questions at the CRC, linking Customer Support data to playtime, player behaviour and more. You will be using statistical techniques, advanced data manipulation and anything else … been through the Customer Support flow? What type of players contact Ubisoft Support? Do players buy more items if their support experience is faster? You will be working with data from Ubisoft's Data Warehouse and Salesforce, transforming it and modelling it using whichever analytics tool you prefer, be that R, Python, or something else entirely. The More ❯

for more. At King Entertainment Corp, we're not just creating games — we're crafting moments of joy and connection for millions of users worldwide. Role Overview: As a Data Analyst, you'll play a key role in helping stakeholders across marketing, product, and operations understand player behavior, campaign performance, and platform health. You'll transform raw data … Mandatory requirements: At least 5 years work experience in the iGaming industry (Social casino; B2C online casino; Sweep stakes; Sportsbook/Sports betting) Built and mentored a team of data analysts Employment type: B2B independent contractor Working Hours: Full-time (40 hours per week) Working days: Monday to Friday Time zone: GMT+1 till GMT +4 Location: UK/Malta … Salary offered: up to EUR 67K/USD 79K gross per year Key Responsibilities: Design, build, and maintain Tableau dashboards and visualizations for operational and strategic reporting. Analyze player data, game performance, and retention trends to identify key opportunities and risks. Work closely with marketing, product, and finance teams to translate data into clear business recommendations. Develop and More ❯