Business Analyst, Customer Intelligence

Type Other
Seniority Mid-Level
Posted Mar 16, 2026

A. Lange & Söhne — Glashütte: Business Analyst, Customer Intelligence to drive CRM analytics and customer insights for a premier watchmaking house.

Overview

A. Lange & Söhne is a German haute horlogerie manufacture based in Glashütte, renowned for precision watchmaking and artisanal finishing. As part of the Richemont group, the house combines traditional craftsmanship with rigorous technical innovation and serves a global client base across retail and wholesale channels.

Role & Responsibilities

  • Develop and maintain customer segmentation frameworks and lifetime-value models to inform CRM, merchandising and after-sales strategy.
  • Design, build and operationalize dashboards and reports for Marketing, Retail and After‑Sales using BI tools; deliver actionable KPIs and cohort analyses.
  • Translate transactional, CRM and digital data into prescriptive insights and campaign measurement, including A/B testing and uplift analysis.
  • Collaborate with CRM, e‑commerce, retail and IT stakeholders to define data requirements, implement data quality controls and ensure governance of customer datasets.
  • Build predictive models and scoring algorithms to support personalization, clienteling and retention initiatives.
  • Present findings and recommendations to senior stakeholders; convert insights into prioritized business actions and track outcomes.

Qualifications

  • Proven ability to translate complex data into commercial recommendations for marketing and retail stakeholders.
  • Strong stakeholder management and presentation skills; able to influence cross‑functional teams and senior management.
  • Hands‑on experience with customer analytics in retail, luxury goods or premium services.
  • High level of intellectual curiosity, attention to data quality and a pragmatic, results‑oriented focus.

Skills

SQL Python R Tableau Power BI Salesforce CRM Google Analytics Microsoft Excel (advanced) Customer segmentation Predictive modelling A/B testing

Experience

Typically 3–5 years of professional experience in customer analytics, CRM analytics, data science or business intelligence—preferably within luxury retail, premium consumer goods, or e‑commerce environments.

Education

Bachelor's degree in Business, Economics, Statistics, Data Science, Computer Science or a related quantitative discipline; Master's preferred.

Culture

The workplace emphasizes craftsmanship, precision and long‑term client relationships, mirroring the brand's watchmaking ethos. Cross‑disciplinary collaboration between production, retail and marketing is encouraged, with an expectation of high standards and attention to detail.