Statistical Analyst - Retail Measurement & Modeling
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Requirements
- Experience with consumer panel data, retail measurement, or similar datasets
- Hands-on experience with Universe building and projection methodologies
- Prior experience working in a project-based, team-driven environment
- Exposure to stakeholder and client-facing roles
Benefits
Additional Information
Develop and maintain data models for FMCG / retail measurement in the Korean market Design, validate, and refine Universe setting and projection methodologies based on panel data Perform data cleaning, processing, and quality validation to ensure robust output Collaborate with internal teams to define analytical approaches and methodologies for client projects Translate analytical findings into clear, structured storytelling for client communication Present reasoning behind methodologies, assumptions, and outputs to clients Continuously improve data quality, projection accuracy, and modeling approaches Manage stakeholder expectations and contribute to effective project delivery Bachelor's degree or above in Statistics, Mathematics, Economics, Data Science, or a related field Around 6+ years of experience in FMCG, retail measurement, consumer analytics, or related industries Hands-on experience with Python for data analysis and modeling (required) Solid understanding of data processing, statistical concepts, and modeling fundamentals Experience working with SQL and large-scale datasets Strong English communication skills (both written and spoken) - ability to effectively communicate with global teams and explain analytical outputs to clients
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Company Intel
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