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Data Analyst, Merge Mansion
We are a mobile game company, based in both Helsinki and Berlin, creating world-class entertainment by building a portfolio of hit games. Since our launch in 2020, our first chart-topping game Merge Mansion has been entertaining over 55 million players worldwide, and we have grown into a team of over 200.
Our mission is to entertain hundreds of millions of people for decades, with our games, and also through our creative marketing, community, and beyond – while having fun with it.
We’re ordinary people crafting extraordinary games with passion and ambition, united by our culture of trust, psychological safety and wellbeing.
We are looking for an experienced Data Analyst to make the much-loved hit game Merge Mansion even better by conducting in-depth data analyses and presenting findings to a wide range of different stakeholders. You’ll join a multidisciplinary feature team for Merge Mansion and work closely with game development teams to provide valuable data insights and analyses that support their efforts.
More about Metacore crafts: https://metacoregames.com/our-crafts
Responsibilities
- Supporting product managers and designers by finding insights through quantitative and qualitative analysis, as well as ideating and monitoring the impact of our product decisions
- Proactively analyzing our game data to spot opportunities for improvements and growth that will guide our game design and monetization strategies
- Designing and evaluating experiments
- Driving decision-making through in-depth statistical modeling and analyses, and well-crafted presentations for both technical and non-technical team members
- Building and maintaining dashboards, version-controlled tools and reports
- Designing analytics tracking events that help us better understand our players and features
- Designing data pipelines in cooperation with our data engineering team
- Spreading best practices to elevate our data team’s success
Requirements
- Prior work experience as an analyst in the F2P gaming industry
- Proficiency in SQL and coding skills in a scripting language like Python or R
- Hands-on experience in data modeling and cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Practical know-how of some BI tools such as Looker, Qlick, Tableau, or similar
- Solid knowledge of industry-standard statistical analyses like A/B testing
- Proactive mindset with a focus on identifying and working on high-impact tasks
- A curious personality complemented by strong teamwork skills
In addition to these, it would be nice but not mandatory for you to have these as well:
- Extensive experience in applying data science methods from concept to production
- Practical knowledge in metrics/semantic-layer and/or dbt
- A degree in a quantitative discipline such as Mathematics, Statistics, Economics or Engineering
What We Offer
- Workplace where we aim high, without taking ourselves too seriously
- Autonomy and accountability with support to foster professional development
- Great opportunities to grow with the company
- Work-life balance and strong emphasis on wellbeing
- Approachable leaders with low ego
- Flexible hybrid workplace where people enjoy working at the office
Basics
- Location: Helsinki, Finland or Berlin, Germany
- Relocation: Relocating to Finland or Germany expected, full support provided
- Work model: Mix of office and remote work
- Working language: English