Data Analyst

Function description

Track 4 is looking for an experienced Data Analyst who will work in close cooperation with the Track Lead (internal) to support OPC in:

-upgrading the current data set up of OPC (data sourcing methods, data modelling & analysis methods and tools, collaboration with other constructs;

-developing Data Analytics methods that respond to current and future needs of OPC control and risk teams, in cooperation with BNPPF Data department;

-deliver qualitative data sets and data analytics outputs;

-contribute to the TO BE vision of data management at OPC.

The mission is 2-fold:

At the one hand, the candidate will contribute to the strategic vision of the future OPC data analysis and management. As such, the candidate will:

- address diversified business problems requiring data (such as descriptive business data to support risk analysis, or the set up a key risk indicators) and contribute to setting up an operating model and target vision;

-Support OPC teams in defining the requirements for these data (data translation);

-Get to know the different data providers of the Bank, in particular the BNPPF Data department, and be an active part of the implementation model(s) set up with those contributors ;

At the other hand, the candidate will also perform data analysis tasks such as:

-data exploration and extraction, set up of data sets;

-ensure Data crunching and treatment for BI purposes;

- work with diverse data analytical methodologies, including statistical/machine learning, forecasting;

-data visualization.

Language requirements

Dutch or French- Fluent

English-Fluent

Certification

SQL, Python

Travel

• Expectation: 50% on site & 50% homeworking

Required experience / knowledge

You have at least 3 years of relevant experience in Data Analytics.

Technical experience

mandatory

• Programming language SQL.
• Programming language Python.
• Knowledge of interaction with Oracle DBs.
• Proven experience in predictive modeling (machine learning) for forecasting purposes;
• Development Tools & Libraries: Conda, GitLab, Jupyter, PyCharm (BNPPF uses a dedicated Py workspace called Domino)
• Data visualization (to be discussed during interview: mandatory at BNPPF is Tableau, Power BI is a possibility.)

preferable

• Knowledge of AB Initio is a plus.
• Familiarity with SAS universe is a plus.

Business experience

mandatory

• Proven Data management background
• Proven management consulting experience (the role is not limited to producing data, but includes creating a network and contributing actively to a strategy)
• Knowledge of digital culture and ability to work within the digital ecosystem

preferable

• Previous experience at BNPPF is a strong plus.