Senior BI Manager
Berlin - Germany
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDrive end-to-end analytics projects across E-Commerce turning business questions into insights
Extract, consolidate and model ERP and Data Warehouse data with SQL; build automated feeds for CRM tools
Develop and analyze customer segments for personalization, retention and lifetime value
Own and improve BI and web analytics systems, dashboards, KPIs and data quality
Support web and app tracking implementations
From the employer’s posting
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)
Tools in this posting
- Python
- SQL
- Looker
- Power BI
Source — Tool mentions in context
- 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
- 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
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 174 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 9, 2026 · 174 days ago
- Recorded sightings
- 150
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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)
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin - Germany
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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