Remote Data Specialist: Build Scalable Pipelines Dashboards

Jobgether

Portugal

Presencial

EUR 42 000 - 65 000

Tempo integral

Há 3 dias
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Resumo da oferta

Jobgether is seeking a Data Specialist based in Portugal for a fully remote role. You will own end-to-end data infrastructure, analytics, and reporting across a global environment, building reliable pipelines and scalable dashboards to enable data-driven decisions.

You will collaborate with engineering and business teams to transform raw data into actionable insights, monitor data quality, and strengthen analytics systems.

Qualificações

  • 3+ years in a Data Analyst/Analytics role.
  • Hands-on with data pipelines and ETL tools (Stitch) and data warehousing in Google BigQuery.
  • Strong Looker Studio proficiency and dashboard development.
  • Experience with GA4 including event tracking and reporting.
  • Ability to validate datasets, QA dashboards, and ensure data accuracy.

Responsabilidades

  • Own end-to-end data pipelines and data warehouse optimization using ETL tools such as Stitch and BigQuery.
  • Design, build, and maintain dashboards and reporting systems with Looker Studio.
  • Ensure GA4 event tracking, validation, and reporting consistency across teams.
  • Perform data QA and validation to guarantee accuracy and reliability of outputs.
  • Collaborate with engineers and stakeholders to improve data architecture and tracking.
  • Document work processes and manage tasks using Trello and Slack.

Conhecimentos

Data analytics
Data pipelines
Dashboards
Looker Studio
GA4 analytics
Data warehousing
Communication
Problem solving

Ferramentas

Stitch
Google BigQuery
Looker Studio
GA4
Trello
Slack

Descrição da oferta de emprego

Jobgether is seeking a Data Specialist based in Portugal for a fully remote role. You will own end-to-end data infrastructure, analytics, and reporting across a global environment, building reliable pipelines and scalable dashboards to enable data-driven decisions.

You will collaborate with engineering and business teams to transform raw data into actionable insights, monitor data quality, and strengthen analytics systems.

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