Product Analyst | Saga Team | Candy Crush

Key Skills

A/B Testing, Data Analytics, Data science techniques, Data Visualization, Game Analytics, Game Engine, Game Engineering, Game theory, Product Analytics, Python Programming, R Programming, SQL

Job Description

We are looking for a talented and creative Product Analyst interested to interested in pushing our understanding and the performance of features within our game.

 You will get the opportunity to be part of a great team, working with an industry leading and genre defining game with over 200 million active players.

Your role within the Kingdom will be partnering up with product managers, business performance managers and data scientists among others, improving the health and performance of new and existing features in Candy Crush. You will be working with varied stakeholders in a fun, dynamic and fast- paced environment.

Key responsibilities include:

• Analysis: Perform quantitative & qualitative analysis that provides insights into our players behavior in support of existing and new features in Candy Crush
• Communication: Communicate results of your analysis in a clear and concise manner, with an understanding of data visualization and the importance of drawing accurate conclusions from multiple data sources
• Operations: Help manage the creation and implementation for planned experiments and optimisations, working collaboratively with BPMs and Product Managers
• Identify product improvement opportunities, define experiment designs and perform AB- tests to validate hypotheses
• Develop frameworks, KPIs and models for how to assess game economy health and performance

• Define best practices and smart processes for reporting on our progress to the rest of the immediate team and fellow Candy Crushers

Skills to create thrills

• You are proactive and demonstrate the ability to learn quickly and work in a fast paced and collaborative environment
• You are an analytical and passionate problem solver and have the ability to draw data driven insights and decisions
• You likely have experience working with user/behavioural data and can extract insights with ease
• You are confident in SQL and data extraction and likely know Python, R or similar