Hiring.Camp

Data Analyst (Data Self-Service)

Kaizengaming

·

Oct 8, 2025

Workplace
Hybrid
Type
Internship
Department
IT
Education
Master

Description

We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 19 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. 

Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?

 

 

What’s in it for you 

We are looking for a Data Analyst to join our newly formed Data Self Service (DSS) department. This function is the first line of support between business stakeholders and the BI department, designed to streamline requests, promote self-service, and accelerate delivery of insights.

 

As a Data Analyst you will:
  • Act as the first point of contact for internal data requests from business units, identifying scope and complexity; 
  • Categorize requests into ad-hoc (small) and project-level (medium/large), solving the former independently and escalating the latter to the appropriate Core BI teams;
  • Build and maintain scalable and modular Databricks notebooks (including parameterized templates) to support self-service use cases; 
  • Actively contribute to the creation and evolution of Genie Workspaces, promoting a culture of data self-service and empowerment; 
  • Support stakeholders with training, guidance, and thoughtful support to increase autonomy over time; 
  • Advocate for automation, identifying repetitive tasks and building systems to reduce manual interventions; 
  • Collaborate with Core BI and other analytics teams to align on best practices, tooling, and handover protocols. 

What you'll bring 

  • Bachelor’s/Master’s degree in a quantitative field (e.g., statistics, mathematics, economics, data science, or related);
  • Strong SQL and Python proficiency and ability to develop efficient and well-structured queries;
  • Experience working with Databricks or familiarity with notebook-style development environments; 
  • Excellent communication skills, with the ability to translate complex data topics to non-technical stakeholders; 
  • A patient, collaborative, and service-oriented mindset when engaging with stakeholders and providing support; 
  • Strong organizational and prioritization skills, with the ability to evaluate and triage incoming tickets; 
  • Ability to work independently on short-term tasks while maintaining a long-term mindset toward reusable solutions and scalability;
  • Passion for process improvement and automation in an analytics environment;
  • Fluency in English.

 

Nice to have 
  • Experience with Python (especially within the context of data analysis and automation using libraries such as Pandas and NumPy); 
  • Familiarity with Genie or other LLM-based data exploration tools;
  • Previous experience in a self-service analytics or support-oriented data team;
  • Knowledge of data cataloging, version control for analytics code, and analytics best practices;
  • Understanding of stakeholder support and enablement methodologies (e.g., training delivery, FAQ creation, playbooks).

 

Kaizen Gaming Perks

🕑 Hybrid way of working.
🏃 A buddy will support you with your onboarding.
💸Competitive salary package and bonus scheme.
👩‍⚕️ Health and life insurance for you and your family.
📚 Unlimited access to Udemy & continuous training for all your learning and development needs.
💰 Monthly allowance for lunch expenses.
⭐Clear career paths & a developmental 360° feedback framework.

Recruitment Privacy Notice 

Regarding the data you share with us, you may find and read our recruitment privacy notice here.

We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age. 

Skills

PythonSQLPandasNumPyDatabricksData Science

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Data Analyst (Data Self-Service) at Kaizengaming | Hiring.Camp