Growth Measurement Architect (Hybrid, Global)

HUNKEMOLLER; Hilversum; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

25 days annual leave (with buy/sell)

Hybrid work model

Work from abroad up to 2 weeks/year

International work environment

Travel allowance

Hunkemöller Academy access

25% employee discount

Job summary

Hunkemöller is seeking a Marketing Measurement Specialist to design and own measurement systems, running incrementality tests across channels while calibrating MMM and MTA to drive growth and CLV insights.

You will maintain dashboards, standardize data, and collaborate with teams across countries to turn analytics into business value. Fluency in English is required and a hybrid work model is offered.

Qualifications

• Strong analytical, technical, troubleshooting, and problem-solving skills.
• 3+ years in marketing measurement, media analytics, or marketing data science with hands-on design of media tests.
• Proficiency in Python or R and SQL; ability to extract data from SAP, DSPs, GA and other sources.
• Fluent in English, both written and spoken.

Responsibilities

• Design and own measurement systems and incrementality tests across channels.
• Calibrate MMM and MTA and connect results to CLV, brand health and audience strategy.
• Maintain the Media Impact Dashboard and support BI data requirements.
• Triangulate incrementality tests, MMM, and MTA into a single calibrated view.
• Analyze large data sets to uncover trends and optimization opportunities.
• Collaborate with partners to ensure data integrity and actionable insights.

Skills

Python

SQL

Analytics

Communication

English

Problem solving

Project management

Data extraction

Media analytics

Cross-functional teamwork

Tools

SAP

Google Analytics

DSPs

Job description

Hunkemöller is seeking a Marketing Measurement Specialist to design and own measurement systems, running incrementality tests across channels while calibrating MMM and MTA to drive growth and CLV insights.

You will maintain dashboards, standardize data, and collaborate with teams across countries to turn analytics into business value. Fluency in English is required and a hybrid work model is offered.