Senior Customer Analytics & Lead Generation Manager

Aman; Baar; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Aman Group in Baar, Switzerland, is seeking a Customer Analytics & Leads Manager to drive segmentation and data-led lead generation across the business. Based in our Baar office, you will leverage analytics and data modeling to identify opportunities, support targeted engagement, and improve acquisition performance.

You will partner with cross-functional teams to manage CRM data, assess conversion performance, and apply predictive insights while integrating external data sources to enhance

Qualifikationen

• Bachelor’s degree in Data Analytics, Economics or Business; Master’s preferred.
• 6–8 years in lead generation analytics, CRM performance, or customer analytics in luxury real estate, hospitality or private client sectors.
• Expertise in CRM systems (Salesforce, HubSpot) and lead scoring models.

Aufgaben

• Design and implement customer segmentation, profiling and journey mapping frameworks.
• Analyze guest journeys, repeat visitation and engagement patterns for loyalty and personalization.
• Develop models for value, retention, churn prediction and behavioural clustering; provide actionable insights.
• Lead data-driven lead generation and scoring strategy; identify prospect segments via data modeling.
• Develop KPIs and dashboards to track lead quality, pipeline progression and conversion.

Kenntnisse

CRM systems

Customer segmentation

Retention analysis

LTV modeling

SQL

Power BI

Tableau

Python

R

Stakeholder management

Ausbildung

Bachelor's degree in Data Analytics, Economics, or Business

Master's degree preferred

Tools

Salesforce

HubSpot

Power BI

Tableau

SQL

Python

R

Jobbeschreibung

Aman Group in Baar, Switzerland, is seeking a Customer Analytics & Leads Manager to drive segmentation and data-led lead generation across the business. Based in our Baar office, you will leverage analytics and data modeling to identify opportunities, support targeted engagement, and improve acquisition performance.

You will partner with cross-functional teams to manage CRM data, assess conversion performance, and apply predictive insights while integrating external data sources to enhance