Senior Data Analyst - Finance Tech, Dashboards in Nice

QUANTILIA; France; Sur place; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

High-impact responsibilities on strategic projects

Collaboration with experts in data science and finance

Professional international work environment

Résumé du poste

QUANTILIA is seeking a Senior Data Analyst for a permanent role in Nice, France. You will analyze and structure financial data, driving automation and optimization of data processes. The ideal candidate has strong Python expertise, experience with data visualization tools, solid finance background, and 5+ years in data analysis. This role offers high-impact responsibilities in a dynamic international environment, emphasizing collaboration with data science experts and requiring excellent English proficiency.

Qualifications

• Strong expertise in Python.
• Proven experience with data visualization tools like Tableau or Power BI.
• Solid background in finance and financial data analysis.
• 5+ years of professional experience in data analysis.

Responsabilités

• Lead the collection, cleaning, and preparation of complex financial datasets.
• Perform advanced statistical analyses and produce high-quality visualizations.
• Design and maintain dashboards to support strategic decision-making.
• Drive automation and optimization of reporting and analysis processes.
• Work closely with data science and product teams.

Connaissances

Python

Data visualization (Tableau, Power BI, Plotly)

Analytical and problem-solving skills

Financial data analysis

Formation

Graduate of a top-tier engineering school or equivalent university program

Description du poste

QUANTILIA is seeking a Senior Data Analyst for a permanent role in Nice, France. You will analyze and structure financial data, driving automation and optimization of data processes. The ideal candidate has strong Python expertise, experience with data visualization tools, solid finance background, and 5+ years in data analysis. This role offers high-impact responsibilities in a dynamic international environment, emphasizing collaboration with data science experts and requiring excellent English proficiency.