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Description supplied by the original job listing.
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 5+ 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
Preferred Qualifications
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
Employment type
Full-time
Work arrangement
No
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