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Data Science - Statistical Analyst

Seoul, 11, Korea, republic of

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Employment
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What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree or above in Statistics, Mathematics, Economics, Data Science, or a related field
  • 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

Preferred experience

  • 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
Qualification wording
Bachelor’s degree or above in Statistics, Mathematics, Economics, Data Science, or a related field
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
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

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
- 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
- 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

About NielsenIQ

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.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 2, 2026 · 14d ago
Recorded sightings
138
Last seen by us
Oct 15, 2026
Employer says posted
Sep 15, 2026

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Job description

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Job Description

  • 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

Qualifications

  • 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

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://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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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

Company Description

We are looking for a Senior Data Scientist to support modeling and analytics for retail measurement data within the Korean FMCG market.

In this role, you will work as part of a collaborative team to solve client-driven business challenges. Rather than working independently, you will be assigned to projects by a team manager, partnering with cross-functional team members to define methodologies, align on analytical approaches, and shape client communication strategies.

A key responsibility of this role is to develop and validate Universe (population) definitions and projection methodologies, ensuring that panel data is accurately expanded to reflect the overall market.

Beyond analysis, you will play a critical role in translating data outputs into clear, compelling business narratives, explaining assumptions, methodologies, and reasoning directly to clients.

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Location & working pattern

Seoul, 11, Korea, republic of

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