Senior BI Manager (m/f/x)
Berlin - Germany
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDrive end-to-end analytics projects across E-Commerce (Paid Marketing, CRM, Product), translating business questions into actionable insights
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.
From the employer’s posting
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)
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)
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
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
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)
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on carharttwip.wd103.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- May 9, 2026
- Recorded sightings
- 130
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Dec 30, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.