National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

DATA TRANSFORMATION SPECIALIST

NielsenIQ
Norfolk
2 months ago
Create job alert

Job Description

DATA TRANSFORMATION SPECIALIST

Customer Integration - Customer Success team -

The Customer Success function is a cornerstone of NIQ Brandbank, playing a crucial role in customer onboarding, adoption, retention, development, and satisfaction for both Brandbank and Etilize solutions.

The Customer Integration function is a vital, client-facing component of NIQ Brandbank. It is responsible for managing the suite of solutions across both Brandbank and Etilize, including associated service levels. This function ensures the efficient ingestion and distribution of all relevant digital product content to meet the needs of our internal teams, stakeholders, customers, industry, and NIQ.

ABOUT THIS JOB

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.

RESPONSIBILITIES

Bespoke Integration Delivery: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.Project Management: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.Knowledge Maintenance: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.Collaboration with Consultants and Developers: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.Data Transformation Logic: 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. Experience in the field of complex data transformation/mapping exercises.Data Quality Assurance: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.Supplier/Retailer Consultancy: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.Stakeholder Communication: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.

QUALIFICATIONS

Degree in Computer Science, Information Systems, Data Management, or a related field.  Relevant knowledge in GS1 standards, data integration platforms, or project management are advantageous.  Technical Skills:  Proven experience in complex data transformation and mapping.  Proficiency in managing and configuring standard and custom data feeds, including Excel extracts.  Familiarity with GS1 and GDSN (Global Data Synchronization Network) standards.  Experience building data transformation logic and conducting testing to ensure accuracy.  Understanding of data formats such as XML, JSON, CSV, and Excel.  Strong data quality assurance capabilities, including implementation of quality control measures.  Professional Skills:  Demonstrated ability to meet project milestones and support project delivery.  Effective verbal and written communication skills in English and local language.  Experience working collaboratively with cross-functional teams including consultants and developers.  Ability to provide consultancy to suppliers and retailers on data integration and transformation best practices.  Other Requirements:  Strong analytical thinking and attention to detail. 

This is apipeline position, which means we are proactively collecting applications for future opportunities. While there may not be an immediate opening, we encourage you to apply if you're interested in being considered for upcoming roles that match your profile.

#LI-hybrid

Additional Information

Our Benefits

Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit

Want to keep up with our latest updates?

Follow us on: | | | 


Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: 

Related Jobs

View all jobs

Data Engineer

Data Transformation Delivery Lead

Data Governance & Network Inventory Specialist

Data Engineer

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Systems & Integration Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.