Data Analyst

About Randstad Digital Randstad Digital is based on the excellence of our engineers and considers our team to be our most valuable asset. By always putting talent first, we support technology specialists throughout their professional lives and ensure the continuous development of their skills. We provide varied and challenging career opportunities by working with clients across multiple industries, including Automotive, Finance, Telecommunications, and more. Our mission is to be a trusted digital enablement partner, supporting organizations through talent, capacity, and global solutions across areas such as customer experience, digital engineering, data & analytics, and cloud transformation. Within the scope of a project for a leading client in the financial sector, we are currently looking to strengthen the team with the hiring of a Data Analyst. Location: Porto or Lisbon Work model: Hybrid Role Overview The selected candidate will work closely with Front Office teams within Global Markets, playing a key role in supporting business decision-making through data analysis. This position requires the ability to translate business needs into technical data solutions, contributing to value creation through advanced analytics, data visualization, and process automation. Key Responsibilities Collaborate with business stakeholders to understand and translate their needs into data-driven solutions Develop analytical solutions to support strategic decision-making Retrieve, process, and analyze complex datasets (ETL processes) Design and develop dashboards and reports using data visualization tools Generate actionable insights and automate analytical processes Ensure effective communication between technical and non-technical teams Independently manage complex analytical projects Technical Requirements Academic background in Engineering, Economics, Mathematics, Statistics, Computer Science, or related fields Professional experience in data analysis using programming languages, preferably Python (Pandas) Strong knowledge of SQL Experience with data visualization tools such as Tableau or Power BI Strong analytical thinking, with the ability to synthesize and simplify complex information Nice to have: Knowledge of descriptive statistics and hypothesis testing Experience with Big Data technologies such as PySpark, Presto, or Airflow Knowledge of Power Query and DAX Languages Fluency in English (mandatory) Soft Skills Strong problem-solving abilities Excellent communication skills, with the ability to present complex concepts clearly Proactive mindset with a focus on automation and continuous improvement Adaptability and ability to work with diverse stakeholders If you meet the requirements and are looking for a challenging opportunity in a data-driven environment, we encourage you to apply.