




Job Summary: Bo Growth is seeking a Junior Data Analyst with Python to join a leading financial advisory firm, supporting data initiatives and collaborating to transform data into actionable insights. Key Highlights: 1. International and dynamic team 2. Mentorship and learning plan 3. Growth opportunities At Bo Growth, we are looking for a Junior Data Analyst with Python to join a leading European firm in the financial advisory sector. As a Junior Data Analyst, you will support data initiatives by building clean pipelines, preparing datasets, and developing analyses and visualizations that help the business make informed decisions. You will be part of an international and dynamic team, collaborating with various *stakeholders*, analysts, and technical teams to turn data into actionable insights. The process includes an **online interview in English**, therefore an **English CV is required**. **Responsibilities:** * Develop and maintain Python scripts and *notebooks* (Jupyter) for data cleaning, transformation, and analysis. * Manipulate datasets using Pandas/NumPy and write efficient SQL queries to extract data from relational databases. * Create clear visualizations and basic dashboards (Matplotlib/Plotly) to communicate results to non-technical audiences. * Support the development and execution of data quality controls. * Collaborate with senior profiles to “productize” recurring analyses and automate periodic reporting. * Support *ad hoc* requests and assist in investigating data incidents, ensuring accuracy and consistency. **Requirements:** * **Education / Technical Experience** * Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. * Solid foundation in Python (data structures, functions, virtual environments). * Experience with Pandas/NumPy. * Basic-to-intermediate SQL (SELECT, JOINs, filtering, aggregation) and relational database concepts. * Knowledge of descriptive statistics and data quality concepts. * Proficiency with Spyder, Jupyter, or VS Code. * **Personal Competencies** * Curious, detail-oriented, and eager to learn. * Strong communication skills; ability to explain technical results in simple terms. * Proactive, collaborative mindset, and problem-solving orientation. * Proficiency in English and Spanish (reading, writing, and speaking). **Conditions:** * Permanent contract * Hybrid model: 50% remote, 50% on-site (Nuevos Ministerios, Madrid) * International environment with a strong commitment to data quality. * Mentorship, learning plan, and growth opportunities


