Product Success Analyst at NielsenIQ

Stockport, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Problem Solving, Stakeholder Management, Data Validation, Modeling Principles, Technical Queries, Root Cause Analysis, Data Integrity, Commercial Awareness, Report Preparation, Anomaly Detection, Data Restatement, Process Improvement, Audit Processes, Critical Thinking, Data Expertise

Industry

Software Development

Description

Job Description About This Job: The Product Success Analyst serves a vital function in upholding the quality and integrity of NIQ’s market measurement products. Although each analyst is dedicated to a specific territory or product, they work collaboratively within the Product Success team to ensure all deliverables align with delivery timelines and data quality standards. Demonstrating a strong commitment to data excellence, the Product Success Analyst proactively detects anomalies in both data and modelling processes, implementing effective corrective measures when necessary. Furthermore, they engage with teams across the organization to investigate and resolve data issues, showcasing an in-depth understanding of external factors that may affect trends and outcomes. Responsibilities: Service Delivery: Make sure all stages of the models run in accordance with the production schedule, following standard operating procedures to ensure deadlines are met. Understand the modelling and validation principles and how they have been applied to the assigned territory. Support new analysts on methodology, problem-solving, and technical queries. Troubleshoot issues that arise in day-to-day tasks. Demonstrate commercial awareness & understanding of NIQ’s on-premise clients and product portfolio. Under the guidance of senior leadership, contribute to projects, working to pre-agreed project plans. Output validation: Validate model outputs against available data sources and contribute to validation meetings with key stakeholders. Keep data integrity rules clear on a consistent basis. Ensure model outputs remain within defined tolerances and accurately represent market dynamics. Serve as the data expert for the assigned sector/product. Demonstrate critical thinking in actioning feedback, provide data-driven recommendations for trend alignment. Prepare reports to reconcile outputs against external sources. Support team members to ensure all sectors for the assigned service are uploaded on time. QC the external data sources feeding models. Investigations and Problem-solving: Use available tools and data sources to investigate client queries in accordance with our investigation protocol. Implement data restatements, delivering acceptable outputs, explanations, and recommendations to commercial teams. Investigate anomalies during data production process, troubleshooting technical failures in collaboration with other departments. Perform root cause analysis on errors that lead to restatements. Stakeholder Management: Own key stakeholder communications for the assigned sector. Manage stakeholders effectively, providing regular progress updates and seek expertise where necessary from SMEs across the business. Respond to queries promptly and efficiently. Process Audit and Improvement: Build reports and validation sheets. Audit existing validation processes, providing recommendations on enhancements and potential fixes. Implement improvements/rebuilds of processes under the supervision of senior leadership. Update and create standard operating procedures as appropriate and submit to management for final approval. Qualifications: Degree qualified, ideally with some analytical or data modelling component. Highly numerate and comfortable manipulating data. Working knowledge of relational databases (desired but not essential) Experience of extracting insights from large datasets and building reports. We Offer: Flexible working environment Comprehensive health insurance Industry-leading parental leave Life assurance Educational support Pension plan Volunteer time off 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 NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

The Product Success Analyst ensures the quality and integrity of market measurement products by managing model outputs and troubleshooting data issues. They collaborate with various teams to resolve anomalies and maintain data standards.