Modelling Analyst - Python & Data Insights (Junior)

NielsenIQ

Warszawa

Hybrid

PLN 80,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Multisport card
Medicover health coverage
Life insurance
Cinema tickets via benefits platform
Additional days off

Job summary

NielsenIQ is seeking a talented analyst to manipulate, analyze and interpret large Consumer Panel and Survey datasets using Python and NIQ tools. You will collaborate with international client delivery teams and product leadership to drive projects that optimize assortment strategy.

The role emphasizes subject-matter expertise, methodological explanations and the commercial implications of assortment actions, with a focus on accuracy and cross-market coordination.

Qualifications

  • Background in Economics, Statistics, or Marketing research.
  • Analytical thinking and problem-solving skills.
  • Good Excel skills; basic Python is mandatory.
  • Strong time and project management; able to manage multiple projects and meet deadlines.

Responsibilities

  • Work on Consumer Panel and survey data.
  • Guide the execution of standard business solutions.
  • Collaborate with consultants—prepare modelling data input, processing studies, and validate outputs.
  • Manage multiple projects and communicate with stakeholders to keep deadlines.
  • Work across Europe and Pacific markets in a cross-country environment.
  • Learn, adjust and develop Python scripts.

Skills

Analytical thinking
Problem solving
Excel
Time management
Independent working
Team collaboration
Data interpretation
Statistical understanding
Business acumen

Education

Economics
Statistics
Marketing research

Tools

Python

Job description

NielsenIQ is seeking a talented analyst to manipulate, analyze and interpret large Consumer Panel and Survey datasets using Python and NIQ tools. You will collaborate with international client delivery teams and product leadership to drive projects that optimize assortment strategy.

The role emphasizes subject-matter expertise, methodological explanations and the commercial implications of assortment actions, with a focus on accuracy and cross-market coordination.

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