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Coordenador de estatística

External
Nielseniq logoNielseniq · São Paulo, Brazil
Full-timeOn-site3w ago
ComplianceData Analysis
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Requirements

  • 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.

Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionHealth insuranceFlexible scheduleEquity / stock options

Additional Information

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.


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