- City of London, London
- £55000 - £65000 per annum
- Job Type
- Jessica Jolly
My global client are looking for talented and creative Data Analysts interested in building on their existing skills to become Data Scientists to join them in pushing the boundaries of online games analytics, with a proven ability to apply skills, be it technical, behavioural or economic, practically in order to generate business value.
Identify potential business opportunities within your area and scope/design approaches to capture those opportunities
Translate business needs to technical requirements and AB-tests, and work with development teams to ensure correct implementation, specifically including correctly tracking the right information to allow easy, precise analysis of the impact
Develop an analysis strategy and perform analysis of complex scenarios and AB-tests, both systematically and on a one-off basis.
Carefully check, debug, and problem solve issues to ensure you deliver accurate and clear analysis and reports, quickly, even when confronted by subtle data complications
Provide an analytics perspective to discussions and prioritisation within your team, so that the overall team selects the right ideas to work on
Be the pro-active owner of the entire data chain for your game(s)
Skills to create thrills
You have a passion for quantitative analysis and the ability to draw business insights.
You will need to demonstrate the ability to learn quickly and work in a fast paced and collaborative environment whilst communicating effectively with teams across the business.
You will develop:
Business Insight: The ability to deeply understand the problems and issues their games and business wants to solve and therefore define for yourself the right data or analysis or interpretation to lead to the right recommendations and decisions
SQL: The ability to write complex SQL queries to analyse their databases with 300+ million players, and work effectively with both Hive and relational database systems.
Analytical coding: Using tools such as R, Python (and also Excel) for analytical purposes
Stats: Understanding the appropriate statistical or machine learning techniques to use in different circumstances.
Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguous
There is plenty of scope at my client for you to learn from your colleagues in those areas where you have less experience, and to share your own skills where you are stronger.
The salary is up to £65K with a 20% bonus. In terms of working, it is pretty much fully remote but an expectation to go to the London office on an ad-hoc basis.
If this sounds like it could be the right step in your data career to work within data science then please apply for more information and I will be in touch with suitable candidates.