Customer Data Business Analyst

emagine Consulting; France; À distance; EUR 35 000 - 50 000; Plein temps

Résumé du poste

A leading company is looking for a data management professional to support its Reg X programme dedicated to data transformation. The role involves ensuring data quality and standardization across the organization by engaging with stakeholders and correcting industry codes related to customer data, with additional responsibilities in process documentation and database development.

Qualifications

• Experience in managing Entity Data/Customer Data.
• Basic SQL knowledge for executing SQL scripts.
• Proficiency in handling large datasets in MS Excel.

Responsabilités

• Correcting industry codes related to customer and client data.
• Supporting the development of a new customer data database.
• Performing data reconciliation using large datasets in MS Excel.

Connaissances

Stakeholder management

Data analysis

Excel proficiency

Reference data analysis

Outils

Atlassian Confluence

SQL

Description du poste

Summary : The role involves supporting the Reg X programme, an initiative dedicated to data transformation within the bank, ensuring data quality and standardization across the organization.

Main Responsibilities :

Correcting industry codes related to customer and client data.

Supporting the development of a new database / platform focused on customer data.

Performing data reconciliation using large datasets in MS Excel.

Creating process documentation and standard operating procedures (SOPs).

Engaging with stakeholders for effective reference data analysis.

Key Requirements :

Experience in managing Entity Data / Customer Data .

Basic SQL knowledge for executing SQL scripts.

Experience with Atlassian Confluence.

Ability to conduct external research for entity relationships using reports.

Proficiency in handling large datasets in MS Excel.

Expertise in Excel functions, including pivots and VLOOKUPs.

Experience in creating process documentation.

Strong stakeholder management and reference data analysis skills.

Understanding of corporate entity relationships.

Nice to Have :

Knowledge of ETL processes.

Background in mathematics.