Product Analyst

We are looking for a dedicated and creative Product Data Analyst with strong Data Engineering skills, interested in building, defining and pushing the boundaries of game analytics, automation and Machine Learning at Candy Crush Saga. You’ll have a proven track record to apply your skills in order to generate value for the mobile games you’ll be working on.

Your Role

You’ll help us to further understand, segment, predict and retain our players. You will be part of a cross-functional team of other data scientists, product managers, game designers and developers.

Specifically, you will:

• Design, monitor, analyze and communicate results for AB tests.
• Translate business needs to technical and AB test requirements, then work with development teams to ensure accurate implementation and event tracking.
• Work in the creation, deployment and maintenance of Machine Learning & AI models.
• Advance the automation of several game systems.
• Proactively develop new analyses, experiments and data-driven models & tools to harness business opportunities
• Carefully check and problem solve issues to ensure the accurate operations of the game, even when confronted by subtle data complications
• Champion data literacy within the cross-functional game team, and share your knowledge with the wider Data Science community

​Skills to create thrills

You have a passion for quantitative analysis, understanding player behaviour and will have the ability to draw business insights which will add real value to King. You are able to learn quickly and have worked in a fast-paced and collaborative environment. This role will involve working with teams and individuals across King - such as Game Developers, Producers and Game Artists, so broad interpersonal skills are essential.

You need to be proficient in the following key skills:

• Technical skills: You can extract, manipulate and visualize the data and you have an understanding of applied statistics (probability, causality and time series). You are proficient in Python and have extensive data engineering experience, being able to build and maintain the data models needed to advance our automation and implementation of Machine Learning systems.
• Product insight: You are capable of using data to gain deep understanding of game mechanics and impacts on player behavior to tackle business problems such as: feature implementation and optimizations, player economy optimization, main critical metric shift, tracking bugs, marketing impact.

​There is plenty of scope at King for you to learn from your colleagues in the areas where you have less experience, and to share your own skills where you are stronger.

Specific prior experience that might be helpful, but is not required, includes:

• Experience in the games industry or customer-facing digital businesses
• Behavioral psychology/economics/game theory
• Working knowledge of randomized controlled trials (ex: social science research, medical research, biostatistics, policy research etc.) or digital A/B testing and online controlled experiments
• Standard reporting tools such as Looker/Tableau/etc.
• Cloud-based big data solutions such as Redshift, BigQuery