Data Analyst bei Inetum

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.

• The 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.
• This Team is responsible for multiple steps regarding data processing: Data Feeds industrialization, ETL, Data Warehousing and Data Visualization. Is 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, will play a vital role in our team. Working directly with one or more of the bank's business areas, will provide valuable insights to drive business growth, understanding their needs, proposing, and implementing data-driven solutions (analysis, visualization and automation). Will exercise a lot of problem identification and problem-solving skills.                                                         
• 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.                                                     
• 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 stekeholders’ needs and translate these to our technical team, as well as present the results of complex analysis to our stakeholders.                                                
• 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                                                      
• Availability to work in the hybrid model or in person in the Lisbon or Porto office                                                          
• Professional experience in any data visualization tool such as Tableau or Power BI                                                          
• Professional experience in data analysis with programming, preferably Python (Pandas)
• Proficiency in SQL                                                      
• Fluency in written and spoken English
• 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 of Power Query and DAX is a plus
• CI/CD tools (Practice)
• Cloud Architecture (Expert)
• Sonar (Practice)      
• Proven ability to work in an Agile/Scrum development environment

Language Skills:

• English (Fluency in written and spoken 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