<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Do you enjoy working with data, systems, dashboards, and business insights? Are you comfortable connecting different data sources, checking accuracy, and helping teams make better decisions? Do you like creating structure where data flows are complex? Then this role is for you.</p><p>We are looking for a detail-oriented and technically skilled Data Analyst to join our international team. In this role, you will build and improve reporting processes, dashboards, and analytical tools, working closely with finance, management, operations, and technical teams to ensure business data is accurate, consistent, well-structured, and transformed into useful insights for decision-making.</p><p>In this role, you will act as a key link between business stakeholders and technical teams, helping translate operational, financial, and management needs into reliable reports, dashboards, data flows, and analytical tools.</p><p> </p><p><strong>About PHILIPP PLEIN</strong></p><p>PHILIPP PLEIN is an international luxury fashion and lifestyle group headquartered in Switzerland, operating across multiple brands and global markets. Known for bold creativity, innovation, and a strong international presence, the company continues to grow through retail, strategic partnerships, and digital commerce.</p><p>As we continue to strengthen our data-driven operations, this role will play an important part in improving visibility, accuracy, reporting quality, and decision-making across finance, operations, management, and key business teams.</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and improve reports, dashboards, and analytical tools.</li><li>Work with databases, APIs, internal systems, and external data sources.</li><li>Extract, clean, map, transform, and validate data from multiple sources.</li><li>Monitor data connections, data flows, and reporting accuracy.</li><li>Identify data inconsistencies, investigate root causes, and suggest corrections.</li><li>Support finance with reporting, analysis, reconciliation, and performance tracking.</li><li>Create data visualizations using BI tools or custom-built dashboard solutions.</li><li>Automate reporting processes where possible.</li><li>Document data logic, report structures, sources, mappings, and calculations.</li><li>Translate business needs into clear reporting and data requirements.</li></ul><p> </p><p><strong>Required Skills &amp; Experience</strong></p><ul><li>Experience in data analysis, business analysis, reporting, BI, or financial analysis.</li><li>Strong SQL skills and experience working with databases.</li><li>Good knowledge of Python for data analysis, including pandas or similar libraries.</li><li>Experience with APIs, data integrations, data mapping, and multiple data sources.</li><li>Ability to design and build custom dashboards or internal reporting tools.</li><li>Strong Excel skills.</li><li>Understanding of data cleaning, validation, transformation, and accuracy checks.</li><li>Experience with financial or business performance data.</li><li>Experience with BI tools such as Power BI, Tableau, Looker Studio, or similar.</li><li>Knowledge of ETL processes, data pipelines, or reporting automation.</li><li>Ability to communicate clearly with finance, management, and technical teams.</li></ul><p> </p><p><strong>Nice to Have</strong></p><ul><li>Experience with ERP, CRM, accounting, or operational systems.</li><li>Microsoft Power Automate experience.</li><li>Experience with AI tools such as Claude Code or Microsoft Copilot.</li></ul><p> </p><p><strong>Ideal Profile</strong></p><ul><li>Analytical, precise, and highly detail-oriented.</li><li>Comfortable working with raw and imperfect data.</li><li>Able to check, challenge, and verify numbers.</li><li>Proactive in finding issues and improving reporting processes.</li><li>Business-minded and able to explain data clearly to non-technical users.</li><li>Independent, structured, and reliable.</li></ul><p><br/></p> </div>