Coordenador de estatística

Company Description

Purpose of the role – mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators(KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes, as well as strong production system processes for PoS

Job Description

1. Methodology and Universe Studies:

Design and manage universe studies, including project management.

Document methodologies for transparency and provide clear explanations of existing methods.

Review results of universe studies and insert changes in the POS Manager.

Conduct impact analysis of universe studies.

Design and simulate extrapolation setups for new panels and sign off on the designs.

2. Quality Assurance:

Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.

Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).

3. Modeling and Extrapolation:

Model missing retailers completely outside the system and maintain complex models.

Support the setup of modeling missing retailers in the system and handover to Stat Ops for ongoing maintenance and execution.

Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.

4. Quality Monitoring:

Resolve Level 2 methodology clarification issues.

Monitor KPIs and conduct root cause analysis (RCA) for panel health,focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.

Define and specify improvement points for panel health.

Qualifications

Skills:

Typically 8–10+ years of relevant experience (flexible based on expertise)

Strong analytical and problem-solving skills.

Proficiency in statistical modeling and data analysis.

Experience with quality assurance and sample optimization.

Ability to document and explain complex methodologies clearly.

Familiarity with KPI monitoring and root cause analysis.

Excellent communication and organizational skills.

Ability to work independently and as part of a team.

Knowing production processes for PoS

Extensive experience of working in an international environment

Strong quality orientation and solution driven.

Strong command of the English language

Extensive experience within Panel Quality value chain

High knowledge about all PoS (RMS) value chains.

This role is ideal for individuals with a keen eye for detail and a passion for data science and quality assurance. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position.

Additional Information

Our Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

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://www.nielseniq.com/global/en/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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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