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Head of Data

DATAHEAD · Vilnius

Nauja
Hybrid Senior 60,000 - 96,000 EUR/metai 🇬🇧 English
SQL dbt Snowflake BigQuery Redshift Lightdash Looker Tableau Shopify Meta Ads Google Ads GA4 CRM systems

Darbo aprašymas

About the role

We are looking for a Head of Data to lead the next stage of data transformation across a growing multi‑brand group. The business has grown significantly, and we now need to move from fragmented reporting and locally built solutions towards a trusted, scalable data function and single source of truth.

Key responsibilities

  • Own data architecture & infrastructure, ensuring a scalable foundation as the business grows.
  • Consolidate data into a single source of truth across e‑commerce, subscription, marketing, CRM, finance and operations.
  • Design and maintain ETL/ELT pipelines using SQL, dbt and modern cloud warehouses.
  • Establish data quality, governance, ownership and standards.
  • Build executive and departmental reporting dashboards for clear performance visibility.
  • Lead marketing analytics to improve attribution, acquisition efficiency, CAC/LTV and forecasting.
  • Drive customer and subscription analytics for retention, churn and lifetime‑value insights.
  • Define product metrics, support experimentation and enhance A/B testing capabilities.
  • Provide commercial analytics for pricing, revenue optimisation and forecasting.
  • Manage stakeholder requests across Marketing, Product, Finance and Operations, prioritising work effectively.

Required profile

  • 5+ years of experience in Data Analytics, Data Engineering, BI or a related field, with proven ownership of a data function or team.
  • Hands‑on experience designing data architecture and ETL/ELT pipelines across multiple sources, using dbt.
  • Advanced SQL skills and experience with cloud data warehouses such as Snowflake, BigQuery or Redshift.
  • Proficiency with BI and visualization tools like Lightdash, Looker, Power BI or Tableau.
  • Experience working with e‑commerce and marketing platforms (Shopify, Meta Ads, Google Ads, GA4, CRM systems) and product analytics.

Required skills

  • SQL
  • dbt
  • Snowflake
  • BigQuery
  • Redshift
  • Lightdash
  • Looker
  • Power BI
  • Tableau
  • Shopify
  • Meta Ads
  • Google Ads
  • GA4
  • CRM systems

Questions fréquentes

Le salaire proposé pour ce poste est de 60-96k EUR par an. Le détail figure dans l'annonce.
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DATAHEAD

Vilnius