Quantitative Data Intelligence
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Company Description
Inetum is a
European leader in digital services
, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes
consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services
Job Description
The
Quantitative Data Intelligence (QDI)
team is responsible for delivering data, insights, and analytical solutions to support the Global Markets Front Office.
Our mission is to build and maintain robust data platforms by integrating information from multiple sources and transforming it into meaningful insights through analytics, reporting, and data visualization. We work in close partnership with business stakeholders, sales teams, and traders, ensuring agile and impactful delivery of information to support decision-making.
Key responsibilities include:
Design, develop, and maintain data solutions that support Front Office activities.
Build and optimize data pipelines, ETL processes, and data warehousing environments.
Develop dashboards, reports, and analytical tools to generate actionable business insights.
Collaborate directly with business sponsors, sales teams, and traders to understand requirements and deliver value-driven solutions.
Contribute to the evolution of data and analytics technologies, leveraging tools such as
Python
,
SQL
,
Tableau
,
Power BI
, APIs, and AI-powered chatbot solutions.
Ensure data quality, consistency, and accessibility across different platforms and data sources.
Qualifications
Bachelor's degree in
Engineering, Economics, Computer Science, Mathematics, Statistics
, or a related field.
Minimum of
2 years of professional experience with Tableau
, including dashboard development and data visualization best practices.
Professional experience in
data analysis and programming
, preferably using
Python
.
Strong analytical and problem-solving skills, with the ability to synthesize complex information into clear and actionable insights.
Knowledge of
SQL
and data modeling concepts.
Understanding of
descriptive statistics
and
hypothesis testing
is considered a plus.
Experience with
Big Data technologies
, such as
PySpark, Presto, and Airflow
, is a plus.
Experience with
Power BI
, APIs, or cloud-based data platforms is an advantage.
Language Skills
English: Advanced / Fluent (mandatory)
Additional Information
Important:
Hybrid Work (50% of homeworking per month); First 4 to 8 weeks, 100% in the office (depending on progression).
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