Financial and data analyst M/F

Our client, a European Institution is looking for a Financial and data analyst who speaks English fluently. This temporary contract starts as soon as possible.

Responsibilities:

• Developing and maintaining the Strategic Target System ("STS") scorecard, including KPIs definition, calibration, and data automation
• Running the STS on a quarterly basis: from data collection and quality control to output production and analysis
• Drafting analytical reports and updates for senior management and the Board of Directors as well as strategy papers
• Participate to the development of dynamic financial datasets (including balance sheets and other statements)
• Leading and supporting tasks related to the team's procedures and processes
• Acting as an internal expert in data science and analytics, contributing to the development of tools, models, and advanced analysis for strategic purposes
• Promoting a strong analytical culture within the FSO, ensuring proper assistance on data analytics matters, and providing guidance on the independent use of models and analytical tools developed by the team
• Enhancing analytical capabilities through innovative methods and advanced data tools
• Participating in cross-functional and cross-departmental projects, offering both strategic and data-driven perspectives
  
  
  

Qualifications:

• University degree, preferably at postgraduate level, in Finance, Strategy, STEM or a related field
• At least three years of relevant professional experience in data/business analytics, financial modelling or corporate strategy, ideally within the finance sector
• Proven experience in querying, analysing, and visualising large datasets using tools such as Python, R, SQL, SAS or Alteryx, and visualization platforms (e.g., Tableau, Power BI)
• Proficiency with Excel is required (VBA is an asset)
• Experience in strategic dashboarding is a distinctive advantage
• Skills in quantitative modelling, projections and financial analysis methodologies as well as notions in accounting are an asset
• Understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts is considered a strong asset
• Experience in project management is advantageous
• Strong written and verbal communication skills, with fluency in English. Knowledge of other EU languages is an asset

Competencies:

• Excellent analytical and problem-solving skills, with a strong aptitude for numerical and data-driven tasks
• Strong interpersonal skills and ability to collaborate across teams and levels
• Ability to challenge existing assumptions with data-driven reasoning
• Creativity and strategic thinking, with the ability to propose new approaches
• Results-oriented, with the ability to manage multiple tasks and deadlines
• High sense of initiative, responsibility, and organisational awareness.