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Junior Modelling Analyst at NielsenIQ | Warsaw

NielsenIQWarsaw
Hybrid Full-time

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Experience Level

Entry Level

Qualifications

QualificationsA degree in Economics, Statistics, or Marketing Research. Proficient communication skills in English (both written and verbal). Strong analytical and problem-solving capabilities. Excellent data manipulation skills. Proficient in Excel. Basic knowledge of Python is essential. Exceptional time and project management skills. Ability to work both independently and collaboratively with attention to detail. Team-oriented attitude. Understanding of statistical methods; experience in Data Science is a plus.

About the job

About the Role
We are seeking a skilled Junior Modelling Analyst with a passion for data analysis and manipulation. In this role, you will engage with extensive datasets related to Consumer Panels and Survey data, leveraging Python scripts and NielsenIQ tools. You will play a pivotal role in collaborating with our international client delivery teams and product leadership to drive projects aimed at enhancing clients' assortment strategies.

As a Junior Modelling Analyst, you will become a subject matter expert, capable of elucidating methodologies and the commercial ramifications of executing and refining assortment activities.

Key Responsibilities

  • Analyze Consumer Panel and survey data.
  • Support the implementation of standard business solutions.
  • Collaborate with consultants to prepare modeling data inputs, process studies, and validate outputs ensuring data accuracy and consistency.
  • Oversee the execution of multiple projects while managing deadlines and communicating effectively with stakeholders.
  • Work across European and Pacific markets in a cross-country environment.
  • Develop and refine Python scripts.

About NielsenIQ

NielsenIQ is a global leader in data analytics and insights, providing clients with the tools and expertise to optimize their business strategies and drive growth. Our commitment to innovation and excellence empowers organizations to harness the power of data effectively.

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