Job Description
Main Responsibilities:
Cleaning Customer / Commercial Data
* Support customer master data validation, including reviews of large datasets across Europe and other regions.
* Develop an understanding of the depth of dataset errors, detecting anomalies, outliers, and trends using cross-checking against reliable external sources. Examples could include; names, addresses, registration numbers etc….
* Data Validation and Duplication Identification: Use company supplied tools to validate data accuracy and duplicate records.
* Data Enrichment: Enhancing existing data by filling in missing details from reliable external sources.
* Leveraging AI to identify errors automatically if possible.
* Working within current company data governance policies.
* Scaling techniques to tackle large datasets and suggest improvements.
* Reporting to colleagues and leadership on a routine basis for final validation before datasets are sent to support teams for ERP inputs.
* Apply critical judgment to determine appropriate methods for handling incomplete, conflicting, or ambiguous data
* Collaborate with cross-functional teams to clarify data definitions and resolve conflicting information
* Document findings, decisions, and data transformation processes clearly and thoroughly
* Assess the downstream impact of data changes before implementing corrections
* Identify patterns and trends within messy datasets to distinguish meaningful insights from noise
Other Responsibilities
* At all times work in a way that demonstrates Veolia Water Tech business methods and ethics.
* To listen to and relay any relevant market intelligence.
* Maintain high standards in terms of personal appearance, conduct and respect of Company property.
Qualifications
Degree in business or equivalent business experience.
Fluent English required
Additional Information
As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.