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. Our digital and software technology experts provide unique R&D and engineering services across industries.
Your role: Data Analyst – GCP Focus
We are seeking a Data Analyst with a strong analytical mindset and solid hands-on experience with Google Cloud Platform (GCP) to join our project team. The successful candidate will transform complex data into actionable insights, supporting business decision-making through analysis, reporting, and data visualization, with a strong emphasis on BigQuery and cloud-scale analytics.
Key responsibilities
- Take ownership of data analysis initiatives, demonstrating a proactive, detail-oriented, and results-driven approach.
- Analyze, transform, and interpret complex datasets to generate actionable insights and support data-driven business decisions.
- Collaborate closely with business stakeholders and cross-functional teams to gather requirements and translate them into analytical solutions.
- Design, build, and maintain efficient queries, data models, and datasets using GCP tools, with a strong focus on BigQuery.
- Perform exploratory data analysis to identify trends, patterns, anomalies, and opportunities.
- Ensure data quality, consistency, and reliability through validation processes, monitoring, documentation, and dataset labeling.
- Develop and maintain dashboards, reports, and KPIs, enabling business users to monitor performance and make informed decisions.
- Use cloud-based and big data technologies to process and analyze large volumes of structured and semi-structured data.
- Communicate insights, findings, and recommendations clearly to technical and non-technical stakeholders.
- Promote a data-driven culture by supporting best practices in analytics, reporting, and data governance.
Your profile
- 4–6 years of proven experience in a Data Analyst or similar analytics role.
- Strong proficiency in SQL, with hands-on experience querying large datasets.
- Experience with Python for data analysis and data preparation, such as Pandas, PySpark, or equivalent.
- Solid hands-on experience with Google Cloud Platform, especially BigQuery.
- Familiarity with supervised and unsupervised data science algorithms.
- Strong experience building and maintaining interactive dashboards in Power BI.
- Good understanding of data modeling, KPIs, and business metrics.
- Knowledge of basic statistical concepts applied to business analysis.
- Experience working in large-scale, cloud-based data environments and data warehouses.
- Familiarity with Git, data pipelines, and CI/CD concepts is a plus.
- Excellent communication and stakeholder management skills.
- Strong analytical thinking, attention to detail, and problem-solving skills.
What you’ll love about working here
- Multicultural and inclusive team environment.
- Supportive atmosphere promoting work-life balance.
- Hybrid work.
- Career growth programs and opportunities to explore diverse professional paths.
- Training and certifications in cutting-edge technologies.
- Exciting national and international projects.
- Health and life insurance.
- Referral program with bonuses for talent recommendations.
- Great office locations.
Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and 420,000 team members in more than 50 countries.