Job Summary
We are seeking a detail-oriented Financial and Data Analyst to contribute to high-impact projects within a dynamic and fast-paced financial environment.
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 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 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.
Qualifications:
* A bachelor's or master's degree in Finance, Strategy, STEM, or a related field is preferred.
* At least three years of experience in data/business analytics, financial modeling, or corporate strategy, ideally within the finance sector.
* Proven expertise in querying, analyzing, and visualizing large datasets using tools such as Python, R, SQL, SAS, or Alteryx, and visualization platforms like Tableau or Power BI.
* Proficiency with Excel is required; VBA skills are an asset.
* Experience in strategic dashboarding is a significant advantage.
* Skills in quantitative modeling, projections, and financial analysis methodologies, as well as notions in accounting, are beneficial.
* Understanding of statistical techniques, such as Regression, A/B Testing, and Causal Inference, and their application in business contexts is highly valued.
* Experience in project management is advantageous.
* Strong written and verbal communication skills, with fluency in English; knowledge of other EU languages is an asset.