Data analyst in gaming

Product Madness; Barcelona; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Annual bonuses

Health and wellness benefits

Paid time off

Retirement plans

Insurance coverage

Other local benefits

Job summary

Product Madness, Inc. ищет старшего дата-аналитика в команду Growth.

Вы будете тесно сотрудничать с User Acquisition и Growth-партнерами, анализировать данные, находить возможности и предоставлять действенные инсайты, которые формируют бизнес-решения и улучшают пользовательский опыт. Требуются продвинутые навыки SQL и Python, опыт работы с большими данными, умение строить модели и отчеты в Looker или Tableau, внимательность к деталям и способность работать с разными командами.

Qualifications

• Опыт 4+ лет в аналитике данных и BI.
• Продвинутые навыки SQL и Python для анализа больших наборов данных.
• Опыт разработки аналитических моделей и отчетности.
• Умение презентовать выводы для технических и нетехнических партнеров.
• Знакомство с инструментами визуализации (Looker/Tableau) приветствуется.

Responsibilities

• Работа с UA и Growth партнерами для понимания производительности.
• Ведение аналитических проектов от идеи до коммуникации инсайтов.
• Определение бизнес-логики Growth-моделей и требований к данным.
• Сотрудничество с Data Engineering и валидация решений.
• Поиск и устранение проблем данных и качества отчетности.
• Разработка масштабируемых отчетов и аналитических решений.

Skills

SQL

Python

Data modeling

Statistical analysis

Experimentation

Communication

Collaboration

Problem solving

Tools

Looker

Tableau

Job description

Описание:

As a Senior Data Analyst on our Growth team, you will play a key role in taking our marketing performance to new heights. You will work closely with User Acquisition and Growth partners to analyze data, find opportunities, and deliver actionable insights. Your work will facilitate strategic business decisions and improve player experiences.

Задачи:

Work closely with UA and Growth partners to understand performance, investigate business questions, and provide actionable recommendations. Lead analytics projects end to end, from problem definition and data exploration to communicating insights and collaborating. Own the business logic and analytical requirements for Growth data models, ensuring they accurately represent how the company measures performance. Act as a key partner to Data Engineering, translating business and analytical needs into clear data requirements and validating delivered solutions. Proactively identify and investigate quality issues, inconsistencies, and gaps in Growth reporting and underlying data models. Build and maintain scalable reporting and analytics solutions, reducing repetitive manual analysis where possible. Define and maintain key Growth metrics and measurement logic across areas such as spend, acquisition, revenue, attribution, and marketing performance. Conduct in-depth analysis to understand performance drivers, find opportunities, and support investment decisions. Clearly communicate complex findings to both technical and non-technical partners, including senior leadership. Provide technical mentorship and share best practices with other analysts while contributing to consistent analytics standards across the team. Work closely with Data Scientists on measurement, experimentation, and modeling projects by providing strong analytical and data foundations.

Требования:

More than 4 years of professional experience in Data Analytics, Business Intelligence, Analytics Engineering, or a related role. Strong experience independently delivering analytics projects and working directly with business partners. Experience owning or significantly contributing to analytical data models, metric definitions, or reporting foundations. Advanced SQL skills and strong experience working with large, complex datasets. Proficiency in Python for data analysis, automation, and analytics workflows. Strong understanding of data modeling, data quality, and analytical data structures. Experience translating business requirements into data requirements and working closely with Data Engineering teams. Proficiency in data visualization/BI tools such as Looker, Tableau, or similar. Good understanding of statistical analysis and experimentation. Strong sense of ownership and comfort driving work independently through to completion. A curious and analytical nature, always looking to investigate unexpected results and challenge assumptions. Pragmatic and dedicated to identifying ways forward. Great attention to detail and high standards for data accuracy and reliability. Comfortable working with ambiguity and changing priorities in a fast-paced business environment. Strong collaboration skills, able to work effectively across Analytics, Data Science, Data Engineering, and business teams. Excellent communication skills, able to challenge constructively and build trust with technical and non-technical partners. Willingness to support the technical growth of other analysts and help maintain high analytics standards across the team. Будет плюсом: Familiarity with digital marketing data, attribution metrics, and acquisition is a great advantage

Условия:

We offer a comprehensive compensation and benefits package designed to remain competitive in the market, support your well-being, and recognize your contribution to our success. Our approach is based on a pay-for-performance philosophy, rewarding individual impact. Your specific compensation package will be determined based on factors such as your skills, experience, qualifications, and location.

• annual bonuses and incentives
• health and wellness benefits
• paid time off
• retirement plans
• insurance coverage
• other local benefits or benefits established by applicable law