Data Analyst (SQL & Data Quality)

Adentis Portugal; Lisboa; Presencial; EUR 42 000 - 56 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Great Work-Life balance

Flexible organizational routine

Health benefits

Discounts through 300+ protocols

Training and Certification Department

Regular performance feedback with a 1:

Resumo da oferta

Adentis Portugal is seeking a data analytics professional to profile data sources, identify data quality gaps, and deliver SQL-driven analysis to support validation and reporting.

You will collaborate with ETL developers and business analysts, interpret requirements, document findings, and help ensure accurate data models across banking domains. Fluency in English is required.

Qualificações

• Advanced SQL skills and strong analytical problem-solving abilities.
• Experience with data profiling, validation and reconciliation.
• Solid understanding of data warehousing concepts and enterprise data models.
• Ability to translate business requirements into data analysis tasks.
• Experience with source-to-target mapping and supporting ETL processes.
• Strong documentation, communication, and stakeholder management skills.
• Fluency in English (mandatory).
• Experience with banking datasets is highly valued.

Responsabilidades

• Profile source data and identify data quality gaps, anomalies, and completeness issues.
• Develop SQL queries for data analysis, validation, reconciliation, and reporting support.
• Interpret business requirements and translate them into data analysis tasks.
• Support source-to-target mapping analysis and data model interpretation.
• Collaborate with ETL developers, testers, and business analysts to investigate and resolve data issues.
• Document data quality findings and analysis clearly for both technical and business stakeholders.

Conhecimentos

Advanced SQL

Data profiling

Data validation

Data reconciliation

Data warehousing concepts

Business requirements interpretation

ETL processes knowledge

Documentation

Communication

Stakeholder management

English fluency

Banking datasets experience

Ferramentas

SQL Server

ETL tools

Data modeling

Descrição da oferta de emprego

With just over 10 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities

• Profile source data and identify data quality gaps, anomalies, and completeness issues.
• Develop SQL queries for data analysis, validation, reconciliation, and reporting support.
• Interpret business requirements and translate them into data analysis tasks.
• Support source-to-target mapping analysis and data model interpretation.
• Collaborate with ETL developers, testers, and business analysts to investigate and resolve data issues.
• Document data quality findings and analysis clearly for both technical and business stakeholders.

Requirements

• Advanced SQL skills with strong analytical and problem-solving capabilities.
• Proven experience in data profiling, data validation, and reconciliation.
• Solid understanding of data warehousing concepts and enterprise data models.
• Ability to interpret business requirements and analyse data flows.
• Experience with source-to-target mapping and supporting ETL processes.
• Strong documentation, communication, and stakeholder management skills.
• Experience working with both technical and business teams.
• Fluency in English (mandatory).
• Experience with banking or financial datasets is highly valued.
• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.