Senior BI Manager (m/f/x)
At a glance
Senior Data Analysis & BI role at Carhartt WIP. Berlin · full-time · no salary stated · we estimate €77,500–€106,738 across Germany.
Carhartt WIP has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Take analytics projects from question to insight across paid marketing, CRM and product
- Use SQL to shape ERP and warehouse data, then set up automated deliveries to CRM and marketing platforms
- Create customer segments and audiences that help tailor experiences, improve retention and grow lifetime value
- Maintain BI and web analytics tools, dashboards, KPIs and data quality, and assist with tracking setup
- Coordinate with marketing, e-commerce, ERP, BI and finance teams to build data-led working habits
What you bring
- Several years handling customer and marketing datasets, preferably in e-commerce, retail or fashion
- A quantitative education, such as economics or statistics, plus practical statistical analysis experience
- Strong SQL and Python, familiarity with ERP and warehouse design, and experience with BI software
- In-depth marketing and e-commerce analytics knowledge, including direct work with web and app tracking data
- Excellent English and clear communication with colleagues who are not technical
Who this fits
This senior position suits someone who works independently, communicates clearly across technical backgrounds and takes initiative. German is helpful but not essential.
From the employer
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)
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