Data Analyst (SQL/ETL/Azure) - Full Remote Portugal

HumanIT Digital Consulting

Portugal

A distancia

EUR 30.000 - 40.000

A tiempo parcial

Hace 4 días

Sé de los primeros/as/es en solicitar esta vacante

Consigue una respuesta de este empleador

Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

15th month salary

Health insurance covering your family

Birthday off

Mobility program for digital nomads

Real work-life balance

Descripción de la vacante

HumanIT Digital Consulting seeks a Data Analyst with strong ETL expertise for a 6‑month consulting engagement. The role blends data analysis with hands‑on ETL development within an Azure data ecosystem, supporting reporting and decision‑making across the organization.

Hybrid profile with potential extension for project evolution, based in Portugal. The candidate should have 3–6 years of experience, advanced SQL, Azure familiarity, and solid data modelling skills.

Formación

3–6 years of experience as a Data Analyst or in a similar data‑focused role.
Strong hands‑on experience with ETL development and data integration processes.
Advanced SQL skills and solid experience working with relational database management systems.
Experience working within Microsoft Azure environments.
Solid understanding of data modelling and data warehousing concepts.
Experience performing data validation, troubleshooting, and data quality activities.
Ability to gather, analyse, and interpret business data for reporting and decision‑making.
Experience documenting data flows, transformations, and business rules.
Strong analytical, communication, and problem‑solving skills.
Comfortable collaborating with both business and technical stakeholders.
English: B2 (Upper Intermediate) — mandatory.
Based in Portugal — mandatory.

Responsabilidades

Build and maintain ETL workflows within an Azure data ecosystem.
Validate data quality and document data flows and transformations.
Support reporting initiatives with trusted, well‑structured data.
Collaborate with technical and business teams across the engagement.
Contribute to data integration, analytics initiatives, and decision‑making.

Conocimientos

ETL development

Advanced SQL

Azure data environments

Data modelling

Data validation

Business reporting

Stakeholder collaboration

English B2

Herramientas

Azure Data Factory (ADF)

Azure SQL Database

Azure Synapse Analytics

Python 3.x

Shell/Bash

Descripción del empleo

ABOUT THE OPPORTUNITY

A leading international organization in the healthcare diagnostics sector is looking for a Data Analyst with strong ETL expertise to join a 6-month consulting engagement. This is a hybrid profile role — equal parts data analysis and ETL development — for someone comfortable working across the full data lifecycle, from extraction and transformation through to business reporting. Full remote, contractor engagement, based in Portugal . Extension possible depending on project evolution.

PROJECT & CONTEXT

You’ll be embedded in an Azure-based data ecosystem , contributing to data integration and analytics initiatives that support business reporting and decision-making across the organisation. Day-to-day work covers building and maintaining ETL workflows, validating data quality, documenting data flows and transformations, and supporting reporting initiatives with trusted, well-structured data. This is not a reporting‑only role — hands‑on ETL development is central to the position. You’ll collaborate closely with both technical and business teams throughout the engagement. Duration: 6 months, with possible extension.

WHAT WE’RE LOOKING FOR

3–6 years of experience as a Data Analyst or in a similar data‑focused role
Strong hands‑on experience with ETL development and data integration processes — this is a core requirement, not a nice‑to‑have
Advanced SQL skills and solid experience working with relational database management systems
Experience working within Microsoft Azure environments
Solid understanding of data modelling and data warehousing concepts
Experience performing data validation, troubleshooting, and data quality activities
Ability to gather, analyse, and interpret business data for reporting and decision‑making
Experience documenting data flows, transformations, and business rules
Strong analytical, communication, and problem‑solving skills
Comfortable collaborating with both business and technical stakeholders
English: B2 (Upper Intermediate) — mandatory
Based in Portugal — mandatory

NICE TO HAVE