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Lead Game Analyst
2 weeks ago
**Lead Insight Analyst / Data Scientist**
**Mobile Gaming**
**Location**: Central London & 2 days wfh
**Salary**: £70k - £90k
**What's in it for me**:
**1 - Small team environment** - your work has big impact, immediate feedback and creative freedom
**2 - Variety of work** - you won't be siloed into one workstream,
**3 - Strong culture**of togetherness, support and family
**4 - A great story** - their journey has been full of hard work and knock backs, but now they are globally recognized and revered
**5 - Amazing portfolio of game titles -**products you can relate to and even play
Work for this aspirational independent games developer who have seen YOY growth and global domination since their inception. Driven by entrepreneurial spirit, and backed by the investment and resources of a global market leader in video gaming. The bestof both worlds
You will be joining a high performing team of data experts, who deliver a wide range of analytics and data science projects ranging from games launch marketing analysis (pre and post), to working with developers to improve in game player experience, analysingplayer behaviour - which does involve playing the games yourself They also conduct ad hoc data science projects including using techniques such as NLP or building a predictive model, but the focus is largely on customer and marketing analytics. The structureis fairly flat, so you are only 3 rungs removed from the CEO, and report into the Head of Analytics. Your peers include other Senior/Lead level Data Scientists and Data Engineers - all of exceptional quality. The culture is very much like a family - closeknit, highly social and there are learning opportunity every day - as no two are the same The games are constantly being improved upon, so your job changes with the titles you are supporting at the time. It's an ever evolving environment, meaning you'll neverget bored
Technically they use R and Python in house, Big Query is their database tech and they have Tableau and Periscope for data visualization and dashboarding.
**Skills and Experience Required**:
- Advanced skills using SQL plus either R or Python for customer and marketing analytics and machine learning
- Ability to work with large, unstructured data sets, pulling together relevant data and insights to provide a holistic view of the player
- Adept with building engaging dashboards and data visualisations - bring the story behind the data to life
- Ability to translate insights into actionable recommendations for stakeholders
- Confident, pro-active nature, ability to adapt and work at pace in a demanding environment