askblue

Data Analyst Local Lisboa, Lisboa Data De Publicaç...

Job description

Do you know AskBlue ? We were born in 2013, and we provide services in the field of information technology.

We are looking for Data Analyst to join our company in one of our projects, in Lisbon .

Team

The Global Client Analytics (GCA) 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.

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;

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;

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;

Recommend ways to efficiently provide quality data and added value;

Leverage large volumes of data from internal and external sources.

Requirements

Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields;

Experience with Data visualization tool (preferably Power BI and/or Tableau);

Professional 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;

Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus;

Knowledge of Power Query and DAX is a plus;

Fluency in English;

Be driven, enthusiastic and dynamic in search of improving processes, controls & procedure.

Work Arrangement

Hybrid (50% home office and 50% at the office).

Offer

Health Insurance;

3 and a half days of leave per year + 22 vacation days;

Unlimited access to Udemy.

If you are interested in the opportunity, upload your C.V. or send it to ****** with the reference #16393550 in the subject.

AskBlue | Business & Technology

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