Data Analyst

MAG Interactive

. Collaborate with product teams and developers on in-game tracking, backend data collection and data quality .

Posted 11/9/2026full-timeStockholm • SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and scalable data models using SQL and dbt, while leveraging AI tools to enhance data analysis and workflow automation. Strong analytical skills are complemented by a solid understanding of data infrastructure and player behavior in mobile gaming.

Highest-signal resume keywords

SQL ExpertiseData Pipeline DevelopmentAI Tool UtilizationData Analysis and ReportingUnderstanding of Mobile Game KPIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModellingData PipelinesData AnalysisPredictive AnalyticsStatistical ModellingPythonRAutomationData Quality Assurance

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsAttention to DetailCuriosity

Tools & Technologies

DbtAirflowTableauLookerPower BIClaudeChatGPTCODEX

Industry Keywords

Mobile Game KPIsPlayer Behaviour AnalysisEngagement OptimizationRetention StrategiesMonetisation Opportunities

Tech Stack

Tools & technologies

AirflowPythonSQLTableau

About the role

Key responsibilities & impact

Collaborate with product teams and developers on in-game tracking, backend data collection and data quality
Design, maintain and improve data pipelines and scalable data models using SQL and dbt
Link product teams, game developers and data engineers to ensure data requirements are understood and implemented
Explore and apply AI tools to improve workflows, automate processes and make data analysis more efficient
Analyse player behaviour, optimise game economies and identify opportunities to improve engagement, retention and monetisation
Build automated dashboards and reports for accessible and understandable business metrics
Identify and resolve tracking, data quality and modelling issues
Research technologies and approaches to improve use of company data
Manage multiple projects in a fast-paced, results-oriented environment

Requirements

What you’ll need

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
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
Use AI tools such as Claude, ChatGPT and CODEX for daily work assignments, such as math, code, data workflows, automation and analysis
Curious and driven to discover the underlying explanations of things
Proficiency in Python, R or other relevant scripting languages (nice to have)
Familiarity with dbt, Airflow or similar data engineering tools (nice to have)
Experience with AI-powered tools, advanced statistical modelling, predictive analytics or machine learning (nice to have)
Experience with visualisation tools such as Tableau, Looker or Power BI (nice to have)
Understanding of mobile game/app KPIs and passion for understanding player behaviour (nice to have)

Benefits

Comp & perks

Generous company bonus
Company mobile phone and contract
Favorable pension and private health insurance package
Flexible work hours
Seasonal kick-offs
Gym allowance
Generous learning and development budget
Monthly After works
Enhanced parental leave
Company wide carbon off-setting and CSR initiatives
Free Swedish lessons (if you wish to learn a new language!)