Descrição do emprego
Job description:
Quantitative Data Intelligence (QDI) team is responsible for providing data, insights, and analysis to Global Markets front office.
The team aims to build a solid database from various sources and develop analysis, reports and dashboards to provide valuable insight to the Front Office in a rapid, agile manner.
Our team is responsible for multiple steps regarding data processing: Data Feeds industrialization, ETL, Data Warehousing and Data Visualization. We are in direct contact with business sponsors, sales, and traders.
We seek to shape the technologies available to the client’s needs - we plan in processing the data using Python and SQL, while delivering the final product in Tableau, Power BI, APIs, and Chat bots.
Main Tasks:
- To be part of an international and diverse team who helps Global Markets Front Office to get to know their clients better and identify opportunities and trends through what data can tell.
- As a Data Analyst, you will play a vital role in our team. Working directly with one or more of the bank's business areas, you will provide valuable insights to drive business growth, understanding their needs, proposing and implementing data-driven solutions (analysis, visualization and automation). You will exercise a lot of problem identification and problem solving
- You will have the opportunity to take ownership of business essential analytical projects that involve retrieving, preparing and analysing complex datasets using data/statistical models and best practices in data visualization for the reporting creation, with the goal to produce insights and automated tools that will guide strategic
- You will move between technical and non-technical areas and should be able to communicate well with different types of professionals. It is very important to be able to clearly and concisely understand stakeholder’s’ needs and translate these to our technical team, as well as present the results of complex analysis
- You will move between technical and non-technical areas and should be able to communicate well with different types of professionals. It is very important to be able to clearly and concisely understand stakeholder’s’ needs and translate these to our technical team, as well as present the results of complex analysis
Technical Skills:
- Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
- Experience in any data visualization tool such as Tableau or Power BI
- Experience in data analysis with programming, preferably Python (Pandas)
- Proficiency in SQL
- Knowledge of descriptive statistics and hypothesis testing is a plus
- Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus
- Knowledge of Power Query and DAX is a plus
Language Skills:
- Fluency in English
Soft Skills:
- Be driven, enthusiastic and dynamic in search of improving processes, controls & procedure
- Be pro-active, enthusiastic and able to work well in a team
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Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.
Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.
Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.
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