CRM Analytics Lead: Strategy, Modeling & Growth

Vinteden

Amsterdam

Hybrid

EUR 68,000 - 92,000

Full time

8 days ago

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Benefits offered by this job

Share options
25 days paid annual leave
Newest MacBook models
Employee Assistance Program (EAP)
Team-building events
Home office budget €540
Lunch benefit
Personal shopping budget
Pension plan
Public transport card
Bike leasing
Monthly benefits budget
Work from Home allowance
Dog-friendly office

Job summary

Vinted is seeking a Team Lead for CRM analytics to own the analytics agenda, set measurement strategy, and build targeting capabilities. You’ll lead a small team of Decision Scientists and partner with Marketing, Data Science & Analytics, and CRM to shape the roadmap and drive experimentation.

We value 4–8 years of analytical experience, a quantitative background, and strong Python, SQL, and Looker skills on a GCP/BigQuery stack.

Qualifications

  • 4–8 years of analytical experience expected.
  • Senior marketing stakeholders experience required.
  • Ownership mindset; proactive problem-solver.
  • Strong quantitative background; metrics-driven.

Responsibilities

  • Own CRM's analytics agenda: set direction and priorities.
  • Set CRM measurement strategy: credible incremental impact.
  • Build targeting capabilities: predictive models and segmentation.
  • Turn insights into action: shape experimentation and campaigns.
  • Stay hands-on: 20–50% of time on hard problems.
  • Lead and mentor a small team of Decision Scientists.

Skills

Experimentation
Causal inference
Test design
Segmentation
People leadership
Python
SQL
GCP/BigQuery
Looker
AI tooling

Education

Quantitative background in Data Science, Statistics, Economics, Maths, CS

Tools

Python
SQL
GCP/BigQuery
Looker

Job description

Vinted is seeking a Team Lead for CRM analytics to own the analytics agenda, set measurement strategy, and build targeting capabilities. You’ll lead a small team of Decision Scientists and partner with Marketing, Data Science & Analytics, and CRM to shape the roadmap and drive experimentation.

We value 4–8 years of analytical experience, a quantitative background, and strong Python, SQL, and Looker skills on a GCP/BigQuery stack.

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