Data Science - Statistical Analyst

Posted 7 Hours Ago
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Hiring Remotely in Sillim 11-dong, Seoul, KOR
Remote or Hybrid
Senior level
Big Data • Information Technology
The world's leading consumer intelligence company.​
The Role
Develop and validate statistical models, population definitions, and projection methodologies for Korean FMCG and retail measurement data. Clean and validate large datasets, improve data quality and projection accuracy, collaborate on analytical approaches, and communicate methodologies and findings to clients. The role also involves stakeholder management, client presentations, and translating analytical outputs into clear business narratives.
Summary Generated by Built In
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.

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

Skills Required

  • Bachelor's degree or higher in Statistics, Mathematics, Economics, Data Science, or a related field
  • Approximately 5 or more years of experience in FMCG, retail measurement, consumer analytics, or related industries
  • Hands-on experience with Python for data analysis and modeling
  • Understanding of data processing, statistical concepts, and modeling fundamentals
  • Experience working with SQL and large-scale datasets
  • Strong written and spoken English communication skills
  • Experience with consumer panel data, retail measurement, or similar datasets
  • Experience with universe building and projection methodologies
  • Experience in project-based, team-driven environments
  • Exposure to stakeholder- and client-facing roles

NielsenIQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.

  • Parental & Family Support Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
  • Leave & Time Off Breadth Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
  • Flexible Benefits Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.

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The Company
HQ: Chicago, IL
40,000 Employees
Year Founded: 1923

What We Do

NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.

Why Work With Us

We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.

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