Financial and Data Analyst Opportunity
We are seeking an experienced Financial and Data Analyst to support our team on a temporary basis. The ideal candidate will have a strong background in finance, data analytics, and strategic planning.
Key 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.
* Participating in the development of dynamic financial datasets, including balance sheets and other statements.
* Leading and supporting tasks related to team 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 organization, 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.
Requirements :
* 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 visualisation 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.