Data Analyst
Data Analyst
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Job Description
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 clients 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 banks business areas you will provide valuable insights to drive business growth understanding their needs proposing and implementing datadriven 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 nontechnical 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 stakeholders needs and translate these to our technical team as well as present the results of complex analysis
- You will move between technical and nontechnical 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 stakeholders needs and translate these to our technical team as well as present the results of complex analysis
Qualifications :
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 proactive enthusiastic and able to work well in a team
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
