LIFESTYLE DESIGN - DIGITAL ANALYST

About Lifestyle Design Our continuous journey to transform some excellences into an integrated group, leading at a global level the high-end furniture market, starts in 2014 when Haworth acquires Poltrona Frau Group. Lifestyle Design is now a federation of 10 Brands, Poltrona Frau, Cassina, Cappellini, Ceccotti Collezioni, Karakter, Luminaire, Janus et Cie, Luxury Living Group, Interni, Zanotta, with 1.900 employee worldwide. We operate in over 75 countries, with 80 Showrooms. Key Responsibilities: Data Modelling & Transformation: Design and maintain data models within Azure Synapse and Azure Fabric, ensuring seamless integration of CRM and digital data. Optimize ETL (Extract, Transform, Load) processes for data quality and performance. Customer Data Platform (CDP) Development: Collaborate with our partners and the IT department to build and maintain a robust CDP, integrating data from various digital channels, CRM, E-Commerce, and other customer touchpoints to create a comprehensive view of customer interactions. Digital Data Reporting: Establish and maintain a solid reporting ecosystem for digital data, ensuring stakeholders have access to accurate and timely insights. Leverage Power BI to create user-friendly reports that drive data-informed decisions. Stakeholder Collaboration: Work closely with marketing, digital, and sales teams to understand their data needs, translate business requirements into technical specifications, and deliver user-friendly dashboards and visualizations. Continuous Improvement: Stay current with trends in BI, data analysis, and customer data management, continuously exploring new ways to enhance analytics capabilities and support data-driven decision-making. Data Governance & Security: Ensure that all analytics solutions adhere to data security policies and best practices, particularly around handling customer and digital data. Technical Skills: Data Visualization: Proficiency in Power BI for creating complex dashboards and reports is preferred. Experience with other data visualization tools (e.g., Tableau, Looker) is also valued. SQL & Data Management: Strong SQL skills for querying, data manipulation, and managing large datasets are mandatory, with experience in optimizing queries and ensuring efficient database performance. Data Modelling Best Practices: Ability to design effective data models, including star schema and snowflake schema, to support analytics and reporting needs. ETL Processes & Data Transformation: Experience in designing and managing ETL processes to ensure high data quality, consistency, and integration across different platforms. Cloud-Based Data Solutions: Familiarity with Azure Synapse and Azure Fabric is preferred, but not mandatory. Experience with other cloud data platforms (e.g., AWS Redshift, Google BigQuery) is considered a plus. Data Integration & Automation: Competence in integrating data from various sources, such as CRM, digital channels, and E-commerce platforms, using APIs or data connectors. Ability to automate workflows for data extraction, transformation, and reporting. Analytical Skills: Strong analytical mindset with the ability to turn data into actionable insights, supporting strategic decision-making. Qualifications: Education: Bachelor’s degree in Computer Science, Data Science, Business Analytics, or a related field. Experience: At least 2-3 years of experience in a data analysis role. The ideal candidate will also possess: Communication Skills: Strong ability to convey data insights to both technical and non-technical stakeholders in a clear and impactful manner. Digital Analytics: Understanding of web analytics, digital marketing metrics, and customer behaviour analysis (preferred but not mandatory). Analytical & Problem-Solving Skills: Ability to analyse complex data sets, identify trends, and generate actionable insights to support strategic decisions. Attention to Detail: Keen attention to data accuracy and quality, ensuring all reports are reliable and actionable. Work location: Milan Our company is an equal opportunity employer.