Data Analyst

About Randstad Digital

Randstad Digital is a global technology company focused on enabling digital transformation for leading organizations worldwide. By combining technical expertise with a deep understanding of business needs, we deliver scalable solutions and connect top-tier tech talent with impactful projects. We are currently seeking a Mid-Level Data Analyst to join a high-performing project within the banking and financial sector.

Position Overview

We are looking for a Mid-Level Data Analyst to join the Quantitative Data Intelligence (QDI) team within the Global Markets division. This role serves as a strategic bridge between business sponsors (such as sales and traders) and the technical data infrastructure team.

The successful candidate will be responsible for the end-to-end data processing lifecycle—including data feed industrialization, ETL, warehousing, and visualization—with the ultimate goal of delivering rapid, actionable insights to the Front Office.

Key Responsibilities

• Stakeholder Management: Act as the primary interface between technical teams and business areas, translating complex business requirements into data-driven solutions.
• Analytical Execution: Retrieve, prepare, and analyze complex datasets using data/statistical models to produce automated tools and strategic insights.
• Data Visualization & Reporting: Design, develop, and maintain automated reports and high-quality dashboards to support real-time decision-making for sales and traders.
• Data Architecture Support: Participate actively in data engineering and processing tasks, including ETL pipelines and Data Warehousing management.
• Process Optimization: Proactively identify inefficiencies and implement automated procedures to improve internal controls and workflows.

Required Qualifications

• Experience: A minimum of 3 years of professional experience in data analysis roles.
• Education: Bachelor’s or Master’s degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related quantitative field.
• Technical Skills:
• Strong proficiency in SQL for data extraction and manipulation.
• Solid programming skills in Python (specifically the Pandas library) for data analysis.
• Proven experience working with data visualization tools such as Tableau or Power BI.
• Languages: Full professional proficiency in English (written and spoken).
• Core Competencies: Excellent communication skills, strong analytical and problem-solving capabilities, and the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications (Nice to Have)

• Knowledge of Big Data technologies and tools (e.g., PySpark, Presto, Airflow).
• Familiarity with Power Query and DAX.
• Understanding of descriptive statistics and hypothesis testing.
• Experience working under Agile methodologies.

Additional Information

• Location: Lisbon or Porto, Portugal.