Mid-Senior Data Analyst (Lisbon) 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 Collect, organize, analyze, and interpret large datasets for decision-making;
Clean and preprocess raw data to ensure data quality and integrity;
Perform statistical analysis, including regression and hypothesis testing;
Create clear and insightful data visualizations;
Building knowledge on the consumption of television content;
Contribute to team projects and implement data-driven strategies for business growth;
Communicate analytical findings to non-technical stakeholders;
Collaborate with senior data analysts and team members to develop analytical solutions;
Manage and prioritize tasks effectively within project timelines.
YOUR PROFILE Portuguese (Native) and English (Advanced);
Bachelor's degree in statistics, mathematics, computer science, economics, or a related field;
Possesses a analytical mindset and meticulous attention to detail;
Skilled in problem-solving and critical thinking;
Collaborative team player with excellent communication skills;
Understand business requirements, develop analytical solutions, and communicate findings effectively
Eager to learn and grow within the field of data analysis;
Familiar with Agile methodologies and project management tools like Jira.
Must have skills:
Knowledge in programming languages: Python, PySpark,, SQL (mandatory);
Experience with data manipulation libraries: pandas, NumPy, dplyr;
Knowledge in data visualization tools: PowerBI (mandatory), Matplotlib, Seaborn, Tableau;
Knowledge of database management systems (mainly SQL) and Data Warehouse (Hive);
Familiarity with notebooks (such as Jupyter) and collaboration platforms: GitHub, GitLab;
Knowledge of cloud platforms: Google Cloud Platform (GCP).
Nice to have skills:
Familiarity with big data technologies like Hadoop, Spark, or distributed computing frameworks;
Knowledge on the Telecom Industry.
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. 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. Training and certifications programs. Health and life insurance. Referral program with bonuses for talent recommendations. Great office locations. ABOUT CAPGEMINI Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Apply now!