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Data Analyst, Central teams
1 year ago
Data at scale sits at the heart of everything we do at Rovio. It enables our games to reach and entertain millions of users on a daily basis. The Business Intelligence team, which you would be part of, empowers our company through insights derived from the data. We are looking for a Data Analyst to work with our Central Business Intelligence team. The Central BI team focuses on Reporting, Services, Modeling Operations and Insights. In this area you get a chance to work across stakeholders such as User Acquisition, Advertisement, Data Engineering and Data Science.
A Central Data Analyst is at an exciting intersection between business and technology. In this position, you will have the opportunity to work on challenging data problems, use modern open source tools and collaborate with experienced data professionals. You will help our UA team to guide their decision making, provide insight on how to optimise our ad performance, deliver reporting and core KPIs to our finance teams and collaborate with other data professionals on bigger projects. Learning and teaching are a fundamental part of the job. You will thrive in this role if you have the ability to apply statistical principles, combine domain knowledge with analytical methods, and collaborate with stakeholders from various backgrounds.
We expect from you an analytical mindset and the ability to explain complex observations in a clear and concise manner; communication is key in making data actionable
How your days will look like:
- Reporting:
- Building meaningful dashboards that answer business questions and improve decision making
- Building data pipelines and automated analyses using modern scripting methods
- Monitoring and ensuring data quality and availability for key business reporting
- Modeling Operations:
- Support models in production. For example in UA, we have important models to track the LifeTime Values of players (LTV).
- Provide guidance to stakeholders around model usability
- Identify areas of improvement and enhancements of models in production. You will get a chance to participate in cross functional projects with Data Science and Data Engineering around model improvements and deployment.
- Insights:
- Own data-driven projects from ideation to execution and collaborate with business owners and analytics peers alike
- Study changes in key metrics and long-term trends across game portfolio
- Drive A/B testing culture within our business stakeholders
Who we think will do great in this role has:
- Ability to turn analyses into purposeful action
- Data literacy and quantitative analysis skills
- Proficiency in Python or R
- Understanding of advanced SQL
- Excellent cooperation and communication skills
And it would be a bonus if you also have:
- Prior experience working in the marketing or gaming industry.
- Experience with version controlled models or data tools run in a production environment.
- Experience with open source big data technologies and large data sets.
- Know-how on Amazon Web Services, especially with Athena, Presto or Spark.
- A general understanding of deploying applications in the AWS environment.
Our recruitment process
First meeting : a quick call with our TA partner to understand your past experience and what you are looking for in your next role.
Second meeting: a call with the hiring manager. Before diving deeper into your skills, we want to know who you are and what motivates you. This is also an opportunity for you to learn more about Rovio and the specifics of the role.
Test: a technical assignment in your own time.
Final round : A final round interview with the broader team. In this session you get a chance to walk through the technical assignment and interact with the team. Our aim is to get a clear overview of your skills, how you would fit with our working culture, your ambitions and where we can help you develop.
Data is at the heart of everything we do at Rovio. It enables us to continually improve our games and provide incredible experiences for the millions of users who play our games every day. All of this data is only valuable if it can be used to guide our day to day operations. It is the job of Rovio data craft to turn that raw data into actionable insights for Rovio’s games teams and other business units. The data craft aims to empower Rovio’s teams with insightful data, and also with relevant tools and models that support decision making.
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