Data Analyst: BigQuery & Cloud Insights Lead

Capgemini Engineering; Lisboa; Híbrido; EUR 42 000 - 66 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Training & certifications programs

Referral bonuses

Great office locations

Resumo da oferta

Capgemini Engineering seeks a Data Analyst with strong analytic mindset and solid GCP experience to transform data into actionable insights. You will support decision-making through analysis, reporting, and visualization, with emphasis on BigQuery.

You will own data analysis initiatives, collaborate with stakeholders, and develop dashboards and KPIs for business users across functions.

Qualificações

• 4 to 6 years of experience in Data Analyst or similar analytics roles.
• Strong SQL skills and experience with large datasets.
• Proven Python experience for data analysis and preparation.
• GCP experience, especially BigQuery; Dataproc or other GCP services is a plus.
• Full proficiency in creating dashboards and reports (Power BI).
• Fluency in English.

Responsabilidades

• Take ownership of data analysis initiatives, with proactive and results-driven approach.
• Analyze, transform, and interpret complex datasets to generate insights for decisions.
• Collaborate with stakeholders to convert requirements into analytical solutions.
• Design, build, and maintain data queries, models, and datasets using GCP (BigQuery).
• Develop dashboards and KPIs to monitor performance for business users.

Conhecimentos

SQL

Python

BigQuery

Pandas/PySpark

Power BI

Data modeling

Statistics

Git

Stakeholder management

CI/CD

Formação académica

Engineering, Data Analytics, Computer Science, Mathematics

Descrição da oferta de emprego

Capgemini Engineering seeks a Data Analyst with strong analytic mindset and solid GCP experience to transform data into actionable insights. You will support decision-making through analysis, reporting, and visualization, with emphasis on BigQuery.

You will own data analysis initiatives, collaborate with stakeholders, and develop dashboards and KPIs for business users across functions.