digital data analyst.

As a Digital Data Analyst you will:

• Monitor the performance of the digital sales channel, identifying trends, anomalies and areas for improvement
• Analyze digital properties (website, app, landing pages) in terms of traffic, engagement and user behavior
• Conduct Conversion Rate Optimization (CRO) analysis, supporting the design and evaluation of tests and experiments
• Analyze digital media performance campaigns, in coordination with the media agency
• Analyze core performance marketing metrics (e.g. CPC, CPA, CPL, conversion rate) to assess the effectiveness of digital activities
• Manage data collection and website tagging, ensuring compliance with GDPR regulations and internal privacy policies
• Build and maintain performance dashboards, ensuring reliable and up-to-date data
• Identify pain points and opportunities across the digital customer journey, turning data into actionable recommendations
• Prepare presentations and insights for management and C-level stakeholders, with a clear data narrative supporting business decisions
• Define tracking requirements and follow up their development with the IT team, ensuring the quality and completeness of collected data

• At least 4 years of prior work experience in a similar position.

• Proactivity and a strong sense of ownership in managing projects and analyses
• Excellent communication skills both oral and written.
• Excellent communication skills, with the ability to turn complex data into clear messages (data storytelling)
• Excellent time management
• Team spirit
• Multitasking and being able to work under pressure
• Strong analytical and problem-solving skills, with attention to detail and data accuracy
• Stakeholder management skills, to effectively interface with different teams

• Ability to work with and cross-reference multiple data sources
• English proficiency level C1
• Knowledge of data privacy principles and GDPR regulations as applied to the collection and processing of digital data.
• Bachelor's degree in in a quantitative or related field (Statistics, Economics, Management Engineering, Marketing Analytics or similar)
• Proficiency in MS Office
• Excellent Knowledge of Excel and PowerPoint (advanced use), Google Analytics 4,Power BI, Contentsquare or Microsoft Clarity, CRM Dynamics, Google Tag Manager
• Solid understanding of customer lifecycle management, and customer support processes
• Commercial awareness to understand the target market and design campaigns accordingly