Data Analyst

About MAG (in brief)

At MAG Interactive we make mobile games that feel good. As a part of this fun and dynamic industry, it’s our mission to spread joy to players around the world. With over 350 million downloads globally, we credit our success to our awesome colleagues and we hope you'll join the team

The role - Data Analyst

You will help us continue to make the best use of the huge amount of player data we have, improving our games and helping our teams make better decisions. With more than 2 million data points collected every minute, there's a vast amount of data to play with

This is a really impactful role at MAG, where you'll work across both data analytics and the technical infrastructure that makes it all possible. From in-game tracking and backend data collection through to data pipelines, modelling and analytics, you'll help ensure our data is accurate, accessible and ready to support great decisions.

You'll be responsible for designing, maintaining and improving data pipelines, models and dashboards for our games. You'll work closely with our product teams, game designers and developers to understand how data is generated, collected and transformed into meaningful insights that help us better understand our players and optimize our games.

AI is also becoming an increasingly important part of how we work, and you'll have the opportunity to explore and apply AI tools to improve our data workflows, automate processes and find smarter ways to work with our data.

You'll also research new approaches and technologies that could help us get even more value from our rich data collection across the business.

The team

The team is currently made up of 5 team members, a mix of data engineers and data analysts.

Our game teams are increasingly self-sufficient when it comes to accessing and understanding their data, meaning the Data team can focus on more complex challenges, improving our infrastructure and exploring new ways to make our data even more valuable.

What you'll be doing

• Collaborate with product teams and developers on in-game tracking, backend data collection and data quality, ensuring reliable data flows from our games through to analytics

• Design, maintain and improve data pipelines and scalable data models using SQL and dbt

• Act as the link between product teams, game developers and data engineers to ensure data requirements are clearly understood and implemented

• Explore and apply AI tools to improve workflows, automate processes and make our data analysis more efficient

• Work with game teams to analyse player behaviour, optimise game economies and identify opportunities to improve engagement, retention and monetisation

• Build automated dashboards and reports that make key business metrics accessible and understandable across MAG

• Identify and resolve tracking, data quality and modelling issues to ensure accurate and consistent reporting

• Research new technologies and approaches to help us make even better use of our data

• Manage multiple projects at a time in a fast-paced, results-oriented environment

Your skills/experience

• Bachelor's or Master's degree in for example Engineering Mathematics, Physics, Computer Science or equivalent

• Strong analytical, problem-solving and communication skills, with great attention to detail

• A good understanding of data infrastructure, including how tracking, backend systems, data pipelines and modelling connect to analytics.

• Experience working with data models, pipelines, reporting or visualisation tools

• Excellent SQL skills, with experience working with large, complex datasets. You would consider SQL to be your bread and butter

• You are using AI tools such as Claude, ChatGPT and CODEX for your daily work assignments, such as math, code, data workflows, automation and analysis

• You're curious and driven to discover the underlying explanations of things

Nice to have (but not essential)

• Proficiency in Python, R or other relevant scripting languages

• Familiarity with dbt, Airflow or similar data engineering tools

• Experience with AI-powered tools, advanced statistical modelling, predictive analytics or machine learning

• Experience with visualisation tools such as Tableau, Looker or Power BI (we use Tableau)

• An understanding of mobile game/app KPIs and a passion for understanding player behaviour

Perks and Benefits

• Generous company bonus

• Company mobile phone and contract

• Favorable pension and private