Responsible for maintaining, recalibrating, and optimizing production models for Retail Panels, with a strong focus on model performance in Pacific markets. The role ensures model accuracy, stability, and compliance through KPI monitoring, quality controls, and continuous model improvements, supported by strong statistical and technical expertise in PoS-based production environments.
Responsibilities
- Maintain, update, and recalibrate production of missing retail models, ensuring stability and accuracy over time
- Develop and enhance models for missing retailers (both outside and within the system), including transition to Stat Ops for ongoing production maintenance
- Support continuous model optimization, including parameter tuning, recalibration, and validation of extrapolation logic
- Design and implement modelling setups for new country/channel expansions, including universe definitions and sampling frameworks
- Ensure modelling frameworks are production-ready, scalable, and aligned with PoS/RMS data structures
- Perform QA on model outputs, ensuring consistency, robustness, and compliance with T&D standards
- Optimize samples and modelling inputs by analyzing shop contributions and identifying inefficiencies impacting model performance
- Detect and resolve modelling-related outliers (MDQC), with clear impact assessment and end-to-end correction approach
- Validate model changes and recalibrations through structured testing and impact analysis before deployment to production
- Monitor model performance KPIs (e.g., stability, variance, panel health indicators) and proactively identify risks
- Conduct root cause analysis (RCA) for modelling issues, including anomalies in extrapolation, sample distortions, and missing retailer impact
- Resolve Level 2 methodology and modelling-related queries, ensuring alignment with global standards
- Define and implement continuous improvement actions to enhance model accuracy and reliability
- Design, manage, and update universe studies, ensuring alignment with evolving market conditions in Pacific
- Translate universe study outputs into model updates, including implementation in production systems (e.g., POS Manager)
- Conduct simulations and scenario testing to validate extrapolation and modelling changes prior to rollout
- Document modelling methodologies, updates, and assumptions to ensure transparency and reproducibility
- Drive automation and standardization of modelling maintenance processes where possible
Requirements
- Strong analytical and problem-solving skills, with the ability to diagnose and address modelling maintenance issues
- Solid technical expertise, including proficiency in Python (or equivalent scripting tools) for model updates, automation, and data validation
- Hands-on experience in statistical modelling, model recalibration, and ongoing maintenance of production models
- Strong understanding of data pipelines and production environments, with the ability to support PoS-based modelling processes
- Experience in quality assurance, sample optimization, and ensuring stability and reliability of model outputs over time
- Ability to monitor KPIs, detect anomalies, and perform root cause analysis to support continuous model improvement
- Familiarity with end-to-end panel and modelling value chain, including extrapolation logic and data quality controls
- Strong documentation skills, with the ability to clearly explain modelling approaches, updates, and assumptions
- Proven experience working in international and cross-market environments
- Strong quality mindset, with a solution-driven approach to resolving modelling and data challenges
- Excellent communication and organizational skills, enabling effective collaboration with technical and business stakeholders
- Ability to work independently while contributing to a broader team setup
- Strong command of English (written and verbal)
Nice to have
- Experience in international and cross-market environments (preferably with exposure to Pacific markets)
- Extensive experience within the Panel Quality and modelling value chain is a strong advantage
Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Additional details
- NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
- 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
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- 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
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