Hay Day is a beloved farming simulation game enjoyed by millions of players around the world. Although the game is celebrating its 12th anniversary, we believe there are still many opportunities to cultivate and grow the Hay Day experience! We know that fun can't be cultivated in a spreadsheet, but we understand that leveraging data to guide our decisions is as crucial as tending to crops and animals.
This is your opportunity to join a passionate team dedicated to enhancing both the team and the game in our ongoing mission to delight our players. Dive deep, analyze, hypothesize, ignite discussions, and make a substantial impact!
Surrounded by a team of exceptional professionals who are also wonderful people, you will have the chance to elevate both the game and your own career to new levels.
At Supercell, teamwork is at the core of everything we do. You'll collaborate with other data analysts and engineers while working closely with the team's live ops & monetization function, Game Designers, and a diverse array of stakeholders – all committed to excellence.

Responsibilities

• First and foremost, help make Hay Day even better
• Help stay on top of game performance and lead investigations into unexpected trends
• Ensure that key insights and learnings are captured from new feature and content releases, applying A/B testing and appropriate statistical methods where relevant
• Promote a hypothesis-driven insights culture within the team and Supercell at large, merging creative intuition with analytical prowess to achieve operational excellence

Requirements

• Several years of experience working as a product scientist or similar role in the games or adjacent industry
• Ability to engage effectively with a wide range of stakeholders
• Ability to own analytics work from formulation of hypotheses to communicating actionable insights
• Great communication skills, both written and spoken, especially for non-technical audience
• Coding skills with R or python, and SQL at a proficient level
• Proactive drive to improve our games and yourself, too

Nice-to-haves

• Prior experience working in a live service game team
• Experience running and evaluating frequent A/B tests
• Relevant background and advanced knowledge of statistics, visualisation, programming, or related skills