Hybrid Revenue Operations & Analytics Analyst

Entrust; Haarlem; Hybrid; EUR 52,000 - 72,000; Full time

Job summary

Entrust is seeking a Revenue Operations Analyst in Haarlem to drive data-driven decision making across revenue teams. You will develop dashboards, monitor KPIs, and translate complex data into actionable insights that optimize revenue processes.

This role collaborates with Sales, Marketing, Customer Success, and Finance to ensure a unified data view and strategic go-to-market improvements. The ideal candidate brings 2–4 years of data analytics experience, proficiency with Tableau/Power BI/Looker

Qualifications

• Bachelor’s degree in a quantitative field.
• 2–4 years in data analytics, BI, or revenue operations.
• Proficiency with Tableau, Power BI, Looker and Salesforce.
• Self-starter in a fast-paced, collaborative environment.
• Strong SQL, Python, or R preferred.

Responsibilities

• Develop and manage dashboards and analytics for core revenue KPIs.
• Perform deep-dive analyses to identify opportunities and challenges in revenue operations.
• Collaborate with Sales, Marketing, Customer Success, Finance to centralize data.
• Ensure data accuracy and governance across platforms like Looker, Tableau, Power BI.
• Define and standardize KPIs with leadership.
• Provide data-driven recommendations to optimize GTM strategies.
• Forecasting and scenario planning support.
• Assist in pricing optimization, territory modeling, and customer segmentation.

Skills

Data analytics

BI tools

Salesforce

Team collaboration

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Power BI

Looker

SQL

Python

R

Job description

Entrust is seeking a Revenue Operations Analyst in Haarlem to drive data-driven decision making across revenue teams. You will develop dashboards, monitor KPIs, and translate complex data into actionable insights that optimize revenue processes.

This role collaborates with Sales, Marketing, Customer Success, and Finance to ensure a unified data view and strategic go-to-market improvements. The ideal candidate brings 2–4 years of data analytics experience, proficiency with Tableau/Power BI/Looker