RevOps Analytics Engineering Lead

Mollie

Milano

In loco

EUR 90.000 - 130.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Mollie is seeking an Analytics Engineering Manager for RevOps in Milano. You will lead a team of analytics engineers, own domain metrics, and shape craft standards across Mollie.

You’ll partner with sales, marketing, and revenue operations to translate business needs into robust analytics and data models. You will guide performance reviews, ensure high-quality deliverables, and drive learning opportunities.

Competenze

  • 5+ years of analytics/analytics engineering experience with a quantitative background
  • Experience leading analytics engineers or analysts and guiding development conversations
  • Ability to partner with sales, marketing, and revenue operations
  • Hands-on SQL experience and cloud data warehouse exposure
  • Familiarity with dbt and data modelling best practices
  • Familiarity with BI tools having a semantic layer (e.g., Looker)

Mansioni

  • Lead a team of analytics engineers within RevOps and adjacent domains
  • Own domain metrics and ensure actionable insights for stakeholders
  • Drive a structured performance management cycle for direct reports
  • Shape analytics engineering craft, standards, and ways of working across Mollie
  • Collaborate with accountable leads on roadmaps and planning
  • Support coaching, mentoring and learning opportunities for the team

Conoscenze

People leadership
Analytics engineering
Cross-functional collaboration
Performance management
Mentoring

Formazione

Bachelor's degree in a quantitative field

Strumenti

SQL
dbt
Looker
Cloud data warehouse

Descrizione del lavoro

Mollie is seeking an Analytics Engineering Manager for RevOps in Milano. You will lead a team of analytics engineers, own domain metrics, and shape craft standards across Mollie.

You’ll partner with sales, marketing, and revenue operations to translate business needs into robust analytics and data models. You will guide performance reviews, ensure high-quality deliverables, and drive learning opportunities.

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