Senior Data Analyst (Sql/Tableau)

PureHealth - CPC; Barcelona; On-site; EUR 60,000 - 90,000; Full time

Job summary

Aristocrat is seeking a Senior Data Analyst on the Growth team to drive marketing performance through data-driven insights. You will partner with User Acquisition and Growth teams to analyze data, define metrics, and deliver actionable recommendations.

You will own analytical data models and ensure data quality across Growth reporting, collaborating closely with Data Engineering and Data Science. The role emphasizes end-to-end analysis, from problem framing to delivering insights to

Qualifications

• 4+ years of professional experience in Data Analytics or a related role.
• Experience owning or contributing to analytical data models, metric definitions, or reporting foundations.
• Advanced SQL skills and experience with large/complex datasets.
• Proficiency in Python for data analysis and automation.
• Experience with data visualization tools (Looker/Tableau) and communicating insights.

Responsibilities

• Lead analytical projects end-to-end from problem definition to insights.
• Define and maintain Growth metrics and measurement logic across spend, acquisition, and revenue.
• Collaborate with Data Engineering to translate business needs into data requirements.
• Communicate complex findings to technical and non-technical stakeholders, including leadership.
• Identify data quality gaps and improve reporting foundations across Growth.

Skills

SQL

Python

Data modeling

Data visualization

Data quality

Experimentation

Tools

Looker

Tableau

Job description

This job is with Aristocrat, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community.

As a Senior Data Analyst on our Growth team, you will play a pivotal role in driving our marketing performance to new heights. You will collaborate closely with User Acquisition and Growth partners to analyze data, find opportunities, and deliver actionable insights. Partner closely with UA and Growth collaborators to understand performance, investigate business questions, and provide actionable recommendations. Lead analytical projects end-to-end, from problem definition and data exploration through to insights and collaborator communication. Own and evolve the business logic and analytical requirements of Growth data models, ensuring they accurately represent how the business measures performance. Act as a key collaborator with Data Engineering, translating business and analytical needs into clear data requirements and validating delivered solutions. Proactively identify and investigate data quality issues, inconsistencies, and gaps across Growth reporting and underlying data models. Build and maintain scalable reporting and analytical 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. Perform deep-dive 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. Work closely with Data Scientists on measurement, experimentation, and modeling projects by offering solid analytical and data foundations.

We are seeking an ambitious and seasoned Senior Data Analyst with a proven track record of delivering outstanding results.

• 4+ years of professional experience in Data Analytics, Business Intelligence, Analytics Engineering, or a related role.
• Strong experience independently delivering analytical projects and working directly with business collaborators.
• Experience owning or contributing significantly to analytical data models, metric definitions, or reporting foundations.
• Advanced SQL skills and strong experience working with large and complex datasets.
• Proficiency in Python for data analysis, automation and analytical workflows.
• Strong understanding of data modeling, data quality, and analytical data structures.
• Experience converting business requirements into data requirements and collaborating closely with Data Engineering teams.
• Proficiency in a data visualization/BI tool such as Looker, Tableau, or similar.
• Good understanding of statistical analysis and experimentation.
• Familiarity with digital marketing data, attribution, and acquisition metrics is a strong plus.
• Strong attention to detail and a high standard for data accuracy and reliability.
• Strong collaboration skills, capable of working effectively across Analytics, Data Science, Data Engineering, and business teams.
• All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.