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Junior Statistician / Statistical Consultant
NielsenIQ
Nuremberg, Bavaria, GermanyOn Site
Original Job Summary
Job Overview
We are seeking a Junior Statistician / Statistical Consultant for our dynamic Project Execution Team (PET) – Integrated Media Solutions at NielsenIQ. In this role, you will perform complex statistical analyses, integrate various data sources, and enhance existing products to support improved decision-making in a media context.
Responsibilities
- Execute complex statistical analyses for customer reporting and deep-dive questions.
- Conduct and improve data fusion and integration from multiple sources.
- Automate and enhance product processes, especially within Big Data environments.
- Provide analytical support in client presentations, both virtually and in-person.
- Collaborate closely with Sales and Product Teams to achieve customer objectives.
Qualifications
- Academic or practical background in statistics.
- Advanced skills in R or Python and knowledge of machine learning, Bayesian statistics, and multiple imputation.
- Basic experience with SQL and familiarity with Cloud and Big Data platforms (e.g., AWS, Azure).
- Experience with workflow automation and version control (Git, GitHub, GitLab).
- Fluent English and ability to communicate complex topics to non-technical audiences.
Preferred Qualifications
- Media industry experience and a deep understanding of media KPIs.
- Familiarity with Git.
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning access
- Employee Assistance Program (EAP)
About NielsenIQ
NielsenIQ is the world’s leading consumer intelligence company, offering unmatched consumer insights and advanced analytics solutions. In 2023, NielsenIQ combined with GfK, strengthening its global reach and expertise in consumer data.
Key skills/competency
- Statistical Analysis
- R
- Python
- Machine Learning
- Data Integration
- SQL
- Big Data
- Cloud (AWS/Azure)
- Workflow Automation
- Version Control
How to Get Hired at NielsenIQ
🎯 Tips for Getting Hired
- Research NielsenIQ's culture: Review mission, values, and recent updates.
- Tailor your resume: Emphasize statistical and analytical skills.
- Showcase technical expertise: Highlight R, Python, SQL experience.
- Prepare for interviews: Practice explaining complex topics simply.
📝 Interview Preparation Advice
Technical Preparation
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Review R and Python libraries.
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Practice SQL queries for data management.
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Study machine learning case studies.
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Familiarize with Git and cloud platforms.
Behavioral Questions
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Describe a project with complex data integration.
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Explain a time you simplified technical content.
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Discuss your teamwork in analytical projects.
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How do you manage project deadlines effectively?