Data Transformation Specialist

NielsenIQ

About The Position

The Client Integration Data Transformation Specialist is responsible for supporting the successful deployment of new and updated services. This includes managing standard and custom data feeds, creating custom Excel extracts, and integrating with GS1 data platforms. The role is pivotal in ensuring seamless data transformation and integration processes that meet client needs and project specifications.

Requirements

Experience in the field of complex data transformation/mapping exercises.
Effective communicator, verbally and in writing, in local and English languages.

Responsibilities

Participate in the delivery of bespoke integrations, whether client-specific or GDSN (Global Data Synchronization Network).
Support data mapping, testing, and deployment activities to ensure accurate and efficient data integration.
Work with detailed data specifications and customer requirements.
Meet project milestones and adhere to client specifications for both inbound and outbound projects.
Collaborate with project managers to ensure timely and successful project delivery.
Maintain up-to-date knowledge of Nielsen Brandbank and local GDSN data models and capture rules.
Continuously update skills and knowledge to stay current with industry standards and best practices.
Understand complex data mapping and transformation procedures.
Work closely with consultants and developers to create patches and changes that support bespoke data outputs.
Ensure that all changes are thoroughly tested and meet quality standards before deployment.
Build out data transformation logic to ensure data is accurately transformed and integrated.
Identify test scenarios and create test data to validate the transformation processes.
Ensure data quality is maintained throughout the transformation process to the NBB Product Library, GDSN Connector, and retailer sites.
Implement quality control measures to detect and correct data issues.
Provide consultancy services to suppliers and retailers to maintain the relevance and quality of data coverage.
Advise on best practices for data integration and transformation to meet bespoke and standard integration requirements.
Maintain regular and effective communication with key stakeholders, including project managers, clients, and internal teams.
Provide updates on project progress, address any issues, and ensure alignment with project goals.