DATA ANALYST (LIEGE-BELGIUM)

Gaming1; Luik; Sur place; EUR 42 000 - 66 000; Plein temps

Résumé du poste

Gaming1 in Liège is seeking a Data Analyst to answer business questions about the player journey through rigorous analyses, from data extraction to recommendations. You will build and maintain Power BI dashboards that drive daily decisions.

You will explore funnels, retention, and segmentation, collaborating with data engineers and scientists, and you will document your work while turning insights into clear deliverables for stakeholders.

Qualifications

• 1–3 years in data analysis or BI, or strong internship/project
• Strong SQL: joins, aggregations, and window functions
• Hands-on experience with a data visualization tool (Power BI/Tableau) and semantic modelling
• Familiarity with data modelling fundamentals (star schema)
• Some exposure to Python for analytics is a plus
• Interest in player behavioural data and business questions behind them
• Professional proficiency in English
• A degree in Statistics, Mathematics, Economics, Computer Science or related quantitative discipline, or equivalent practical experience

Responsabilités

• Answering business questions on your player journey with rigorous, well-structured analyses, from data extraction to the final recommendation.
• Building and maintaining the dashboards and reports (Power BI) that your Area relies on day to day, with attention to accuracy and clarity.
• Digging into player behavior — funnels, drop-offs, retention, segmentation — to understand not just what happened, but why.
• Contributing to explorations and Proof of Concepts (including AI) alongside more experienced analysts, to test hypotheses and qualify new approaches.
• Turning your findings into clear, visual deliverables (insight notes, dashboards) that decision-makers can act on directly.
• Working closely with the Head Of, PM, Data Engineers & Data Scientists of your Area, and progressively building that relationship yourself.
• Learning the business inside out: the player journey, the products, the operational realities behind the numbers.

Connaissances

SQL

Python (analytics)

DAX

Funnel & segmentation analysis

English proficiency

Formation

Bachelor's degree in Statistics / Mathematics / Economics / Computer Science

Outils

Power BI

Tableau

Description du poste

YOUR ROLE

• Answering business questions on your player journey with rigorous, well-structured analyses, from data extraction to the final recommendation.


• Building and maintaining the dashboards and reports (Power BI) that your Area relies on day to day, with attention to accuracy and clarity.


• Digging into player behavior — funnels, drop-offs, retention, segmentation — to understand not just what happened, but why.


• Contributing to explorations and Proof of Concepts (including AI) alongside more experienced analysts, to test hypotheses and qualify new approaches.


• Turning your findings into clear, visual deliverables (insight notes, dashboards) that decision-makers can act on directly.


• Working closely with the Head Of, PM, Data Engineers & Data Scientists of your Area, and progressively building that relationship yourself.


• Learning the business inside out: the player journey, the products, the operational realities behind the numbers.

YOUR MINDSET

• You are curious by nature and genuinely want to understand how things work, rather than simply producing the requested output.


• You enjoy formulating hypotheses, confronting them with reality, and accepting when facts contradict your initial assumptions.


• You ask questions when something doesn't add up, and you are comfortable saying you don't know yet.


• You don't just deliver a report; you want to understand the actual friction behind player behavior and its root causes.


• You take feedback well and turn it into progress — you want to grow fast, and you know that means being challenged.


• You care about the quality and reliability of your work, and you document what you build.


• You thrive in a team environment and interact daily with various departments to refine your understanding of business reality.

YOUR PROFILE

• Typically, 1 to 3 years of experience in data analysis, business intelligence or a related analytical role — or a strong first experience such as an internship or a significant academic project.


• Solid SQL skills: you are comfortable writing joins, aggregations and window functions, and eager to grow towards production-grade queries.


• Hands-on experience with a data visualization tool (e.g. Power BI, Tableau) and a willingness to deepen your expertise in semantic modelling and DAX.


• Familiarity with data modelling fundamentals (star schema, basic data quality principles) and an appetite for structured, reproducible work.


• Some exposure to Python for analytical work (data wrangling, exploratory analysis) is a plus.


• An interest in customer or player behavioural data — funnels, retention, segmentation — and in the business questions behind them.


• Professional proficiency in English.


• A degree in Statistics, Mathematics, Economics, Computer Science or a related quantitative discipline, or equivalent practical experience.