Job Details
Carhartt WIP is part of the WIP Trading AG. Our family-owned business group started as a licensee and European distributor of the US workwear manufacturer Carhartt in the early 1990s. Since then, it develops its own collections based on workwear originals.
Carhartt Work In Progress aims to continuously progress and evolve, without ever losing sight of its origins. Over the course of the past two decades, our business has developed organically, along with its customers, the culture that surrounds the brand, and its employees who have helped shape what Carhartt WIP is today.
Your Responsibilities
Drive end-to-end analytics projects across E-Commerce (Paid Marketing, CRM, Product), translating business questions into actionable insights
Extract, consolidate, and model data from ERP systems and the Data Warehouse using SQL, and build automated data feeds for CRM and marketing platforms (e.g. Emarsys)
Develop and analyze customer segments and audiences to support personalization, retention, and lifetime value optimization
Own and continuously improve BI and Web Analytics systems (e.g. Looker, Power BI, GA4), including dashboards, KPIs, and data quality; support tracking implementations (e.g. GTM, Firebase, Adjust)
Collaborate closely with Marketing, E-Commerce, ERP, BI, and Finance teams and actively promote a data-driven mindset
Your Profile
Several years of experience working with customer and marketing data, ideally in E-Commerce, Retail, or Fashion
Strong quantitative background (e.g. Economics, Statistics, Mathematics, Computer Science) with experience in statistical analysis
Solid understanding of ERP systems and Data Warehouse architectures, with strong skills in SQL and Python and experience using BI tools (e.g. Looker, Power BI)
Deep knowledge of marketing and e-commerce analytics, including hands-on experience with web and app tracking data
Ability to work independently, communicate clearly with non-technical stakeholders, and a high level of initiative; excellent English (German is a plus)
Senior Manager • Berlin (DE)