Data Analyst – GCP

CAPGEMINI ENGINEERING

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

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 (EDA) 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 both technical and non-technical stakeholders
• Promote a data-driven culture by supporting best practices in analytics, reporting, and data governance

YOUR PROFILE

Experience & Technical Skills

• 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 (e.g., Pandas, PySpark or equivalent)
• Solid hands-on experience with Google Cloud Platform, especially BigQuery
• Strong experience building and maintaining interactive dashboards in Power BI, enabling effective data storytelling
• Good understanding of data modeling, KPIs, and business metrics
• Knowledge of basic statistical concepts (descriptive statistics, trend analysis, hypothesis testing) applied to business analysis
• Experience working in large-scale, cloud-based data environments and data warehouses
• Familiarity with version control tools (e.g., Git) and data pipelines / CI/CD concepts is a plus
• Excellent communication and stakeholder management skills, with the ability to explain complex insights clearly and concisely
• 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
• Hybrid work
• 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
• Access valuable training and certifications in cutting‑edge technologies
• Engage in exciting national and international projectsHealth and life insurance
• Referral program with bonuses for talent recommendations
• Great office locations

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.