Lisbon_Data Analyst_English M/F Lisboa

Lisbon_Data Analyst_English M/F
Lisboa
Lisboa, Lisboa, Portugal

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:

1. 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.
2. 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
   - driven solutions (analysis, visualization and automation). You will exercise a lot of problem identification and problem solving.
3. 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 reporting creation, with the goal to produce insights and automated tools that will guide strategic decisions.
4. Move between technical and
   - technical areas and communicate well with different types of professionals. It is very important to clearly and concisely understand stakeholders’ 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.

Profile

Soft Skills:

• Be driven, enthusiastic and dynamic in search of improving processes, controls & procedures.
• Be
  - active, enthusiastic and able to work well in a team.