Senior Manager GTM Data Analytics & Engineering

apartmentTeamViewer placeBarcelona calendar_month30/4/26

Experteer Overview

As Revenue Data Architect & Analytics Engineering Lead, you’ll design and own the end-to-end GTM data architecture, enabling scalable revenue analytics across Marketing, Sales, Customer Experience, Finance. You will lead a small analytics engineering team and partner with data/engineering functions to deliver durable data models, ELT/ETL pipelines, and a governed semantic layer for self-service analytics.

Your work powers executive reporting and forward-looking insights, aligning data foundations with business needs. You’ll shape data standards, governance, and reliability in a fast-paced SaaS environment.

Compensaciones / Beneficios

Design and own end-to-end GTM data architecture from sources to BI consumption
Develop scalable data models for full-funnel and revenue analytics
Build and manage ELT/ETL pipelines integrating CRM, Marketing Automation, Finance, and Customer platforms
Ensure data pipelines are reliable, well-documented, and performant
Own canonical data models for Marketing, Sales, Pipeline, Revenue, Retention, and Expansion
Standardize event/object/metric definitions across systems
Support complex revenue use cases: attribution, forecasting, cohort analysis, funnel analysis, lifecycle reporting
Define BI exposure strategy and maintain a governed semantic layer for self-service analytics
Establish data quality checks, validation rules, and reconciliation processes
Lead and coach a small analytics engineering team; balance delivery with team growth
Collaborate with GTM, Finance, IT, and central Data teams to align architecture standards
Partner with RevOps and Finance on metric governance and data correctness
Enable automation to reduce manual reporting and support AI-ready analytics

Responsabilidades

7-10+ years in data engineering, analytics engineering, or advanced BI
Proven experience designing and maintaining analytical data architectures and data warehousing
Experience owning SQL-based transformation layers and data models at scale
Experience integrating multiple SaaS systems into a unified analytics environment
Experience working with GTM, revenue, or commercial data in a SaaS business
Advanced SQL and data modeling expertise
Strong ELT/ETL concepts and pipeline reliability
Experience with modern analytics stacks and cloud data platforms
Understanding of revenue and GTM data structures
Clear, pragmatic communication with technical and non-technical stakeholders

Requisitos principales

Onsite onboarding at HQ
competitive compensation and equity
private pension plan top-up
hybrid and flexible work time
Work From Abroad program up to 40 days
team events and company-wide celebrations

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