Service Data Scientist — Drive Sales with Data Insights

Liebherr; Bulle; On-site; CHF 100,000 - 140,000; Full time

Benefits offered by this job

Flexible working hours

Home office

Company restaurant

Training opportunities

Benefits

Job summary

Liebherr Machines Bulle SA is seeking a data-driven Sales Analytics professional to own the analytics domain, delivering insights on actual sales performance and untapped potential. You will translate analyses into actionable recommendations to influence portfolio, pricing and go-to-market decisions.

The role requires a Master’s in a relevant field and at least two years of experience in data/commercial analytics, with strong Python/R and SQL skills and fluency in English.

Qualifications

• Master's degree in a relevant field.
• At least two years of experience in data science, sales analytics, or commercial analytics.
• Excellent English; German and/or French a plus.
• Strong knowledge of statistics, machine learning, and BI reporting.
• Proficient in Python or R and SQL; experience with dashboards and reporting using BI tools.

Responsibilities

• Own the Sales analytics domain and provide data-driven insights on sales performance and potential.
• Build transparency on sales potential across the installed base to focus commercial efforts.
• Provide customer and sales insights to support portfolio, pricing and GTM decisions.
• Collaborate with Sales to realize agreed sales potential and track KPIs.
• Ensure reliable sales figures via harmonized definitions and CRM data quality.
• Identify automation and process improvements to reduce manual effort and provide early warnings.
• Maintain up-to-date documentation and ensure continuity through deputyship during absences.

Skills

Analytical thinking

BI dashboards

Python

R

SQL

English (fluent)

German/French (advantage)

Education

Master's degree in Data Science / Statistics / Mathematics / CS / Business Analytics

Tools

Python

R

SQL

Job description

Liebherr Machines Bulle SA is seeking a data-driven Sales Analytics professional to own the analytics domain, delivering insights on actual sales performance and untapped potential. You will translate analyses into actionable recommendations to influence portfolio, pricing and go-to-market decisions.

The role requires a Master’s in a relevant field and at least two years of experience in data/commercial analytics, with strong Python/R and SQL skills and fluency in English.