Data Analytics Intern — AI & Strategy Insights (Hybrid)

SINGULIER

Paris

Hybride

EUR 12 000 - 17 000

Plein temps

Il y a 20 heures
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Avantages offerts par ce poste

Mentorship
Hands-on projects
Client exposure
Hybrid Paris office

Résumé du poste

Singulier, a strategy and transformation consulting firm, seeks a Data Analytics Intern to support due diligences and strategy projects. It is a hands-on role with real client exposure and a fast learning curve, mentored by experienced consultants.

You will build reusable analysis assets, contribute to benchmark libraries, and explore AI-powered tools to speed up analyses. Based in Paris with a hybrid model (3–4 days in the office).

Qualifications

  • You are a curious, rigorous student with a passion for data and a first hands-on experience in consulting.
  • You are a student in a top-tier business or engineering school with a data/analytics orientation.
  • You are comfortable with Excel and have some experience with Python and/or SQL.

Responsabilités

  • Run standardised analyses: market & competition, consumer insights, social listening, SEO/SEA and search query analysis.
  • Collect, clean and structure data from internal and external sources.
  • Build clear charts, benchmarks and slides to support project teams.
  • Help maintain and enrich the practice’s benchmark library and reusable analysis toolkits.
  • Experiment with AI-powered tools to speed up and standardise recurring analyses.
  • Support consultants and data scientists on broader project tasks as needed.

Connaissances

Excel
Python
SQL
Data analysis
Communication

Formation

Business/Engineering student
Data analytics orientation

Outils

Databricks
Google Cloud Platform
N8N

Description du poste

Singulier, a strategy and transformation consulting firm, seeks a Data Analytics Intern to support due diligences and strategy projects. It is a hands-on role with real client exposure and a fast learning curve, mentored by experienced consultants.

You will build reusable analysis assets, contribute to benchmark libraries, and explore AI-powered tools to speed up analyses. Based in Paris with a hybrid model (3–4 days in the office).

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