Senior Data Analyst – Data Science & Performance Marketing

About the role

We are seeking a Senior Data Analyst to strengthen data‑driven decision‑making and performance measurement for a fast‑growing international apparel and lifestyle brand. This hands‑on role blends data analysis, data science and performance marketing to ensure data reliability and translate complex datasets into actionable insights.

Key responsibilities

• Produce and maintain daily performance reports, dashboards and KPIs for business and marketing performance.
• Investigate, reconcile and validate data across multiple sources, identifying discrepancies and understanding data collection and attribution.
• Analyze marketing campaign performance, channel efficiency, acquisition metrics (ROAS, CAC, conversion rates) and identify optimisation opportunities.
• Connect and model data from different platforms to build a consistent view of performance across channels.
• Apply statistical methods and quantitative techniques to identify trends, support forecasting and explain performance drivers.

Required profile

• 5+ years of experience in data analytics, performance marketing analytics, data science or business intelligence.
• Strong quantitative mindset with ability to investigate complex datasets and understand underlying mechanisms.
• Hands‑on experience reconciling data from multiple platforms and systems.
• Solid understanding of digital marketing measurement, attribution and key performance indicators.
• Fluent English communication skills.

Required skills

• SQL
• Advanced Excel
• BI and visualization tools (Power BI, Tableau, Looker)
• Python or R for data analysis and statistical modelling

What we offer

• Key role in strengthening data and performance analytics for a fast‑growing international brand.
• Direct exposure to business performance with influence on decision‑making.
• Dynamic, international environment where data‑driven thinking is central to growth.
• Opportunity to improve data quality, reporting processes and measurement methodologies.