Data Analyst

Ubisoft Entertainment S.A; Barcelona; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Ticket Restaurant

Flexible working hours

Health insurance

Life Insurance

Office Gym

Language training

Mobile Device Grant

Holidays 25 days + Ubisoft Birthday

Employee discounts on Ubisoft games

Job summary

Ubisoft Barcelona Mobile is seeking a Senior Data Analyst / Data Scientist to turn raw data into decisions across the data stack (Redshift, dbt, Power BI, GitLab). You will report to the Director of Data & Analytics and help shape analytics for user acquisition, retention and monetization.

Spain work permit is mandatory. You will build dashboards, models, and ML projects, collaborate with game teams, and communicate insights to senior stakeholders while exploring AI applications to accelerate

Qualifications

• Master's degree in a quantitative field; PhD a plus.
• 3+ years in similar roles, preferably mobile gaming.
• Proficient in SQL and Python for data exploration and analysis.
• Experience with cloud data warehouses (Redshift) and dbt.
• Solid Power BI experience and ability to build dashboards.
• Version control with Git/GitLab; strong analytical communication.
• Experience in predictive analytics and segmentation.
• Interest in AI/GenAI applications to analytics.

Responsibilities

• Turn data into actionable insights for user acquisition, retention, and monetization.
• Collaborate with game teams to answer business questions and support A/B tests.
• Build and maintain reliable data models and pipelines for self-serve analytics.
• Develop ML projects for behavioural segmentation and monetization.
• Design Power BI dashboards for stakeholders across the studio.
• Communicate results to senior leadership and promote best practices.
• Prototype AI/GenAI applications to accelerate analysis and reporting.

Skills

SQL

Python

Data exploration

Statistics

Machine learning

Data visualization

Power BI

A/B testing

Communication of insights

Git/GitLab

Education

Master's degree in a quantitative field

PhD is a plus

Tools

Amazon Redshift

dbt

Power BI

GitLab

Job description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Ubisoft Barcelona Mobile brings together dedicated and experienced professionals that are focused on crafting high-quality F2P games for mobile. We strongly believe in the core values at the centre of our Ubilife, which encourage us to take ownership of our work, continually striving for excellence while promoting the sharing of knowledge across individuals and teams, without losing our sense of enjoyment and fun, while taking care for one another. We strive for a safe and respectful workplace for all team members and we’re transparent about the measures we are taking to do so. For this reason, Ubisoft’s Code of Conduct has been released publicly on our corporate website for all current and future team members.

Do you want to join us in the world of mobile gaming? If so, read on!

JOB DESCRIPTION

Ubisoft Barcelona Mobile is currently seeking a Senior Data Analyst / Data Scientist to help our team on their next adventure.

You will support insight initiatives for our Data and Analytics team across the modern data stack (Redshift, dbt, Power BI, GitLab) to turn raw data into decisions, and will be reporting to our Director of Data & Analytics.

*Please note that a work permit for Spain obtained prior to applying for the position ismandatory.*

Your daily adventure:

Turning data into actionable insights, by performing hands‑on research, data exploration and analysis, to drive decisions and strategies for user acquisition, retention, and monetization.

Work with the game teams to provide insights into user behaviour, answer key business questions and support A/B test design and analysis.

Build and maintain reliable, well‑documented data models and pipelines that the wider organization can trust and self‑serve from.

Carry out projects in machine learning for behavioural segmentation and monetization.

Design, build and maintain clear, actionable Power BI dashboards and reports for stakeholders across the studio.

Debug and problem‑solve issues to ensure the delivery of accurate and clear analysis, reports, and tools — versioning your work in GitLab following good CI/CD practices.

Effectively communicate results and insights to senior stakeholders throughout the organization.

Coordinate, challenge and share the best analytical practices and methods within the organization.

Explore and prototype applications of AI and Generative AI (LLMs, AI agents, copilots) to accelerate analysis, automate reporting, and uncover new player insights.

Stay up to date with the latest developments in Machine Learning, Data Science, and AI/GenAI trends.

Contribute to the knowledge base and culture of the team.

QUALIFICATIONS

YOUR SKILLS

Master's degree in a quantitative field(i.e.Physics,Mathematics, Engineering, Computer Science, Data Science...). PhD in any of these disciplines is a plus.

3+ years of relevant work experience in similar positions, ideally in the mobile gaming industry.

Highly proficient in SQL as well as Python for data exploration and analysis.

Hands‑on experience with cloud‑based data warehouses, ideally Amazon Redshift, and data transformation tools such as dbt.

Solid experience building dashboards and reports in Power BI (or similar BI tools).

Comfortable working with version control (Git/GitLab) as part of the daily analytics workflow.

Robust understanding of advanced statistics suitable for the analysis of skewed populations.

Experience designing effective ways of communicating, visualising and reporting results/analysis.

Experience in predictive analytics and segmentation.

Excellent problem‑solving capabilities with strong attention to detail.

Nice to Have:

Hands‑on experience using AI‑assisted tools (e.g. GitHub Copilot, ChatGPT, Claude) to speed up analysis, coding, or documentation.

Exposure to applying Generative AI / LLMs to analytics use cases (e.g. natural‑language querying, automated insight generation, player‑facing chat experiences).

Experience with Agile methodologies (e.g. Scrum, Kanban, XP) and project management tools (e.g. JIRA).

Software engineering best practices beyond Git, such as CI/CD pipelines and code review.

Self‑motivation, organizational skills, team spirit, proactivity.

Passion for games. Interest in mobile F2P games.

ADDITIONAL INFORMATION

YOUR LIFE AT UBISOFT BARCELONA MOBILE (and PERKS)

• Ticket Restaurant: 220€ per month, and a flexible compensation plan(ticket transport & ticket nursery free of taxes).
• Flexible working hours: 40‑hour workweek with start times between 8 AM and 10 AM (or from 7:30 AM when working onsite to avoid traffic jams), and early leave from 4 PM (Fridays from 2 PM).
• Reduced schedule(35 hrs per week) in July and August, Easter, Christmas holidays, and special days like Sant Jordi and Revetlla de Sant Joan.
• Personal Matters Hours:24 hours paid for by Ubisoft that you can use for personal matters during your work schedule
• Holidays: 25 days per year + 1 day on your Ubi-Birthday.
• 5 extra holidaydayson the year you celebrate your 5th/10th/15th/20th year with us.
• Health insurancewith Cigna, including physiotherapy and psychology sessionsat a reduced price.
• Life Insurancewith AXA.
• Office Gym open from 7 AM to 8 PM
• Mobile Device Grantof 400 EURstarting in your 1st year in the company.
• Language trainingfor English, Spanish, and French.
• Professional development training & programs, based upon request.
• Ubisoft games are available at a discount, and Ubisoft Connect in PC is free
• Locally roasted craft coffeeby INCAPTO (it’s very, very good).

Ubisoft is committed to creating an inclusive work environment that reflects the diversity of our player community. We are an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender sexual orientation, age or disability status.