Senior Data Analyst

October 12, 2026

Remote

Senior

Barcelona, Spain

Worth knowing

Gambling-related project

Description

Senior Data Analyst role in the Growth team, focused on pushing marketing performance to new heights. You will collaborate closely with UA and Growth partners to analyze data, find opportunities and deliver actionable insights that support strategic business decisions and improve player experiences. The role covers ownership of Growth data models, metrics and reporting, plus mentoring other analysts toward consistent analytical standards.

Responsibilities

Collaborate closely with UA and Growth partners to understand performance, investigate business questions and offer actionable recommendations
Lead analytical projects end to end, from problem definition and data exploration to communicating insights and collaboration
Own the business logic and analytical requirements of Growth data models, ensuring they accurately reflect how the company measures performance
Act as a key collaborator with Data Engineering, translating business and analytics needs into clear data requirements and validating delivered solutions
Proactively identify and investigate quality issues, inconsistencies and gaps in Growth reports and underlying data models
Build and maintain scalable reporting and analytics solutions, reducing repetitive manual analysis wherever possible
Define and maintain key Growth metrics and measurement logic across spend, acquisition, revenue, attribution and marketing performance
Run in-depth analyses to understand performance drivers, find opportunities and support investment decisions
Communicate complex findings clearly to both technical and non-technical collaborators, including senior leadership
Provide technical mentorship and share best practices with other analysts while contributing to consistent analytical standards across the team
Collaborate closely with Data Scientists on measurement, experimentation and modeling projects, offering solid analytical and data foundations

Requirements

Over 4 years of professional experience in Data Analysis, Business Intelligence, Analytics Engineering or a related role
Proven experience delivering analytical projects independently and working directly with business stakeholders
Experience owning or significantly contributing to analytical data models, metric definitions or reporting foundations
Advanced SQL skills and solid experience working with large complex datasets
Proficiency in Python for data analysis, automation and analytical workflows
Strong understanding of data modeling, data quality and analytical data structures
Experience translating business requirements into data requirements and collaborating closely with Data Engineering teams
Proficiency in data visualization and BI tools such as Looker, Tableau or similar
Good understanding of statistical analysis and experimentation
Familiarity with digital marketing data, attribution metrics and acquisition is a big plus
Strong ownership approach, comfortable driving work independently to completion
Curious and analytical nature, always investigating unexpected results and challenging assumptions
Realistic and dedicated to identifying ways to advance
Great attention to detail and a high standard of accuracy and data reliability
Comfortable working with ambiguity and shifting priorities in a fast-paced business environment
Strong collaboration skills across Analysis, Data Science, Data Engineering and business teams
Excellent communication skills, able to challenge constructively and build trust with technical and non-technical stakeholders
Willingness to support the technical growth of other analysts and help maintain high analytical standards across the team

Conditions

Annual bonuses and incentives based on a performance-driven compensation philosophy
Health and wellness benefits
Paid time off
Retirement plans and insurance coverage
Specific compensation and benefits details are discussed during the selection process

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