Data Analyst - GCP

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

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

We are seeking a Data Analyst with a strong analytical mindset and solid experience in Google Cloud Platform (GCP) to join our project. The ideal candidate will focus on transforming data into actionable insights, supporting business decision-making through analysis, reporting, and data visualization, with particular emphasis on GCP capabilities.

• Take ownership of data analysis initiatives, demonstrating a proactive, detail-oriented, and results-driven approach.
• Analyze, transform, and interpret complex datasets to generate meaningful insights and support data-driven business decisions.
• Collaborate closely with business stakeholders and multidisciplinary teams to understand requirements and translate them into analytical solutions.
• Design, build, and maintain efficient data queries, data models, and datasets using GCP tools, with a strong focus on BigQuery.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and opportunities.
• Ensure data quality, consistency, and reliability through validation, monitoring, documentation and labeling of datasets.
• Develop and maintain dashboards, reports, and KPIs, enabling business users to monitor performance and make informed decisions.
• Use big data frameworks and cloud-based technologies to process and analyze large volumes of structured and semi-structured data.
• Clearly communicate insights, findings, and recommendations to both technical and non-technical stakeholders.
• Promote a data-driven culture by supporting best practices in analytics, reporting, and data governance.

YOUR PROFILE

• Proven experience of 4 to 6 years in Data Analyst or similar analytics roles.
• Strong proficiency in SQL, with proven hands-on experience working with large datasets.
• Experience with Python for data analysis and data preparation or equivalent distributed platform (e.g. Pandas, PySpark).
• Solid hands-on experience with Google Cloud Platform (GCP), especially BigQuery; experience with Dataproc or other GCP data services is a plus.
• Familiarity with other cloud platforms (Azure, AWS) is considered a bonus.
• Familiarity with data science algorythms( Supervised/Unsupervised)
• Strong experience in creating and maintaining interactive dashboards and reports in Power BI, enabling data storytelling and performance monitoring.
• Good understanding of data modeling concepts, KPIs, and business metrics.
• Knowledge of basic statistical concepts (descriptive statistics, trend analysis, hypothesis testing) applied to business analysis.
• Experience working with large-scale data environments and cloud-based data warehouses.
• Familiarity with version control tools (e.g. Git) and data pipeline and CI/CD concepts is a plus.
• Excellent communication and stakeholder management skills, with the ability to explain complex data insights in a clear and concise manner.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Academic background in Engineering, Data Analytics, Computer Science, Mathematics, or a related field.
• Mandatory fluency in English.

WHAT YOU'LL LOVE ABOUT WORKING HERE

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

ABOUT CAPGEMINI

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.