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Senior BI Manager (m/f/x)

Berlin - Germany

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Employment
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Apply at Carharttwip

What you’ll work on

Full posting
  • Drive 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

View original 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)

  • 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.

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Source & posting history

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Pay

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Location & working pattern

Berlin - Germany

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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

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