Ref. AO1888
We are looking for a Data Analyst to join a group with a wide range of financial services, from conventional banking services such as accounts and loans to investment, wealth management and insurance solutions, serving both individual customers and large companies and financial institutions.
If you consider yourself a flexible and proactive person and want to face new professional challenges, send us your application! We look forward to being part of your growth and we will certainly build a successful future together!
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 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 skills
- You will have the opportunity to take ownership of business essential analytical projects that involve retrieving, preparing and analyzing 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 solutions
- 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 stakeholders’ needs and translate these to our technical team, as well as present the results of complex analysis to our stakeholders - You must be prepared for routine changes, each day will be filled with new and excited challenges
- You must be prepared for routine changes, each day will be filled with new and excited challenges
Technical skills:
- Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
- Professional experience in Tableau - at least 2 years
- Professional experience with SQL
- Experience in data analysis with programming, preferably Python (Pandas)
- Ability to analyze, synthetize and simplify
- 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 in Power BI, Power Query and DAX is a plus
- Knowledge in CI/CD technologies is a plus (Jira, Bitbucket, Jenkins, Confluence)
Personal skills:
– Good communication skills
- Proactive
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