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# Data Analyst

- **Company:** Aristocrat Technologies
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Big Data, Information Engineering, Data Visualization, Python (Programming Language), Tableau (Software), Sql Optimization, Data Analytics, Looker Analytics
- **Published:** October 6, 2026
- **Apply:** https://startup.jobs/senior-data-analyst-aristocrat-technologies-indi-10296658

## About the Role

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

 * 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.
 * A strong ownership approach, comfortable independently driving work through to completion.
 * A curious and analytical nature, always looking to investigate unexpected results and challenge assumptions.
 * Realistic and dedicated to identifying ways forward.
 * Strong attention to detail and a high standard for data accuracy and reliability.
 * Comfortable working with ambiguity and changing priorities in a fast paced business environment.
 * Strong collaboration skills, capable of working 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 collaborators.
 * Willingness to assist in the technical growth of other analysts and help maintain high analytical standards throughout the team.

This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

## Description

* 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.
 * Provide technical mentorship and share standard methodologies with other analysts while contributing to consistent analytical standards across the team.
 * Work closely with Data Scientists on measurement, experimentation, and modeling projects by offering solid analytical and data foundations.