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Junior Statistician / Statistical Consultant

NielsenIQ

Nuremberg, Bavaria, GermanyOn Site

Original Job Summary

Overview

We’re looking for you to strengthen our dynamic team at NielsenIQ! In the role of Junior Statistician / Statistical Consultant, you will be responsible for creating and executing complex statistical analyses for reporting and in-depth client inquiries.

Key Responsibilities

  • Create and execute complex statistical analyses for reporting and client inquiries.
  • Conduct and enhance data fusion processes by integrating various data sources.
  • Automate processes, perform quality checks and handle big data efficiently.
  • Provide analytical support and methodological guidance during client presentations.
  • Collaborate with Sales, Tech, and Product teams to achieve client objectives.

Focus Areas

Linking consumer data with media data, and analyzing cross-media campaigns efficiently.

Minimum Qualifications

  • Statistical background and strong analytical skills.
  • Advanced knowledge of statistical software (R or Python).
  • Fluent English language skills.
  • Ability to explain complex topics to a non-technical audience.
  • Exceptional attention to detail.

Preferred Qualifications

  • Experience in the media industry.
  • Deep understanding of media KPIs.
  • Git experience.

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee Assistance Program (EAP)

About NielsenIQ

NielsenIQ is a global leader in consumer intelligence, recently merged with GfK to provide comprehensive consumer insights with advanced analytics. Join a diverse and inclusive team dedicated to helping clients enhance their market position.

Key skills/competency

  • statistical analysis
  • data fusion
  • R
  • Python
  • client presentation
  • automation
  • big data
  • quality checks
  • media KPIs
  • communication

How to Get Hired at NielsenIQ

🎯 Tips for Getting Hired

  • Research NielsenIQ's culture: Study their mission, values, and recent news.
  • Customize your resume: Highlight statistical and analytical skills.
  • Showcase technical expertise: Emphasize experience with R, Python, and data integration.
  • Prepare for behavioral interviews: Reflect on teamwork and client interaction examples.

📝 Interview Preparation Advice

Technical Preparation

Review R and Python coding techniques.
Practice complex data integration problems.
Study statistical methods and quality checks.
Run sample analyses using big datasets.

Behavioral Questions

Describe a challenging client presentation you led.
Explain teamwork in cross-functional projects briefly.
Share an experience handling multiple deadlines.
Discuss how you prioritize tasks effectively.