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Financial data analyst with sql and python

Bollendorf
LHH Luxembourg
Data Analyst
Inserat online seit: 27 Januar
Beschreibung

Our client, an Investment Fund company based in Luxembourg, is looking for its future Financial Data Analyst for their Financial Strategy & Analytics Division.
We are specialised in the employment of middle and top management and highly qualified professionals in contracting, temporary and permanent placement.
Designing and updating the Strategic Target System (STS) scorecard, including defining KPIs, calibrating measures, and automating data collection;
Managing the quarterly STS process, from gathering and verifying data to producing results and analyses;
Acting as a subject-matter expert in data analytics, developing models, tools, and advanced analyses for strategic purposes;
Fostering a data-driven culture, providing guidance on the independent use of analytical tools, and supporting colleagues with data-related questions;
Innovating and implementing new analytical methods and advanced data tools;
University degree in Finance, Strategy, Data Science, STEM, or a closely related discipline;
Minimum of three years’ professional experience in areas such as corporate strategy, financial analysis, or data/business analytics, ideally with exposure to the financial sector;
Strong proficiency in managing, analysing, and visualising complex datasets using tools like Python, R, SQL, SAS, or Alteryx, as well as platforms such as Tableau or Power BI;
Solid Excel skills, with knowledge of VBA considered a plus;
Experience in developing and maintaining strategic dashboards and performance tracking systems is highly valued;
Familiarity with quantitative modelling, financial forecasting, and accounting concepts is beneficial;
Prior involvement in project management or coordination is advantageous;
Excellent communication skills in English, both written and spoken; Strong analytical and problem-solving abilities, particularly with numerical and data-focused tasks;
Capacity to question assumptions and provide data-driven recommendations;
or to discuss other career opportunities we have available, please contact Muriel Mercier as soon as possible - CONFIDENTIALITY ASSURED .

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