Who are we?

We are S.ET Iberia, the IT, Data and Operations Hub of BNPP Personal Finance, part of BNP Paribas, one of the largest banking groups worldwide. From delivery centers in Spain and Portugal, we provide the best services and solutions to BNPP PF entities around the world to enable sustainable and responsible financial solutions for major retailers, consumer goods companies, mobility brands and dealerships.

Among other services, our portfolio is composed of:
* Application Development & Maintenance
* IT Risk & Cybersecurity Services.
* Data Analytics and AI.
* Operations.

Our offices are in Spain (Madrid) and Portugal (Lisbon, Porto). The company brings together over 200+ employees, with techies in various technologies (Java, .Net, Python, AI, Spark, Kafka, Tibco, Apigee) supported by other operational roles (Functional Analyst, Project Manager, Business Analyst, Auto Stock Financing operators). We keep growing!

Our consistent track record of service delivery means customer satisfaction for our partners and opportunities for our employees.

You will find SET Iberia to be an inclusive workplace with an entrepreneurship spirit where you can develop your career and grow personally and professionally.

Would you like to join our international team that delivers end-to-end solutions to businesses of BNP Paribas Personal Finance Group entities around the world?

In a context of increasing the operational excellence of our growing service portfolio we are looking for a Developer - Data Analyst.

Mission:

The SAM goal is is to feed VAMS with the information of the vehicles we receive from the different providers. Resolving incidents, making requests, optimising our processes, and creating new developments.

Will be responsible of the python migration of the most important flows of the different countries. The automation and migration will be carried out with the objective of verify that obtained results of deployed functionalities are aligned with Business Requirements, verifying also the correctly integration of the components.

Will also be responsible for providing service in several countries, feeding the tool, resolving incidents, performing analysis and providing support to different managers

The automation tester does not have any responsibilities regarding ergonomic, look and feel and user experience but can influence these attributes by suggesting improvements to Business Analyst, Web designers or Functional Analysts.

Main Responsibilities:

The main responsibilities are:

- In coordination with the central Asset Management team and the countries: develop, update, and optimize the Python (or SAS, depending on the scenario) programs used to generate the files for the Residual Value Management Tool.

- Work on specific data analyses for the Asset Managers.

- Work on specific data analyses for the Asset Managers.

- Execute internal procedures in his perimeter of actuation.

- Respect of deontological and safety rules.

- Actuation in accordance with BNPP PF global policies and compliance procedures.

- Contribute to AGILE meetings:

* Sharing tests in review.

* Sharing feedbacks with the team.

* Work with Business Analyst of the team.

* Usage of SN as ticketing tool.

What we are looking for:

- Analyst with minimum 2 years of experience as Python Data Analyst, able to interact with the client, and eager to improve and advance in their professional career.

- We are looking for people with initiative, self-critical capacity and attitude of constant improvement. High commitment and high value for teamwork.

- Knowledge of the automotive market would be a plus.

Tools:

- Development and automation tools (Python, SAS/SQL, Sparrow).

- Software Asset Management (SN).

Languages:

- Fluid level of Spanish.

- English level B2 or higher.

-Optionally, French level B1.

Business and Transversal Skills:

- Problem-Solving and Decision-Making person.

- Demonstrates advanced analytical and diagnostic skills dealing with issues that are ambiguous, lack known precedent or appear contradictory.

- Experience with AGILE methodology.