Head of Data & Analytics, Platform & Strategy

Tech Rise

Amsterdam

Hybrid

EUR 110,000 - 170,000

Full time

13 days ago

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Job summary

Tech Rise is seeking a Data Lead in Amsterdam to own the data function end-to-end, overseeing the operating model, platform investments, and a team of ~5 engineers/analysts. You will collaborate with Product, RevOps, Finance, and GTM to centralize data and demonstrate the impact of the product on business performance.

You will design the internal data stack, set data standards, and drive governance, ensuring a single source of truth for critical metrics while guiding analytics, AI readiness, and

Qualifications

  • 7+ years in data or analytics roles, with leadership experience.
  • Experience designing and building core data stacks (warehouse, pipelines, BI).
  • Strong SQL skills and hands-on with modern data tools (Snowflake, Databricks, dbt...).
  • Ability to partner with RevOps, Security, Engineering and Finance to align data with business priorities.

Responsibilities

  • Own the design and implementation of the internal data stack — warehouse, pipelines, orchestration, and BI layer.
  • Define target architecture compatible with the existing external product data stack owned by the reporting team.
  • Safeguard data quality, reliability, and documentation across all critical datasets.
  • Create and maintain shared metric definitions and data standards across the business.

Skills

Data leadership
SQL
Modern data stacks
Stakeholder management

Tools

Snowflake
Databricks
dbt
Azure Data Factory
Fivetran
Power BI
Looker

Job description

Tech Rise is seeking a Data Lead in Amsterdam to own the data function end-to-end, overseeing the operating model, platform investments, and a team of ~5 engineers/analysts. You will collaborate with Product, RevOps, Finance, and GTM to centralize data and demonstrate the impact of the product on business performance.

You will design the internal data stack, set data standards, and drive governance, ensuring a single source of truth for critical metrics while guiding analytics, AI readiness, and

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