Data Analyst Consultant

On Site Full TimeParis, Ile-de-France, FranceService Industry Association

Role Overview

Sia is recruiting a Data Analyst consultant to accompany clients on missions, including data analysis, visualization, and reporting. The role involves working with various stakeholders, anticipating risks, and developing solutions using BI tools like Power BI and Tableau. The consultant will also contribute to the firm’s reputation through publications and events.

What You Will Do

The Data Analyst consultant will perform tasks such as data quality checks, data transformation, and data visualization. They will also design and implement reporting and data analysis solutions, including developing dashboards and reports.

Why It Might Be a Fit

The ideal candidate is enthusiastic about accompanying clients in seizing opportunities, has an interest in data and AI-related issues, and is recognized for their analytical skills. They should be curious, enjoy working in a team, and share Sia’s values of excellence, entrepreneurship, innovation, sharing, benevolence, and work-life balance.

Requirements

  • High-level training (Bac +5) in university, engineering school, or business school, in the field of data
  • Experience as a data analyst or data visualization
  • Experience with BI tools such as Tableau, Power BI, Qlik, etc.
  • Proficiency in SQL and Python for data manipulation and analysis
  • Understanding of data extraction, transformation, and loading (ETL) techniques, with a preference for experience with ETL tools (e.g. Dataiku)
  • Experience on platforms such as Azure, Google Cloud Platform, AWS is an asset

Benefits

  • Dental insurance
  • Vision insurance
  • High-level training (Bac +5)
  • Experience as a data analyst or data visualization
  • Experience with BI tools such as Tableau, Power BI, Qlik, etc.
  • Proficiency in SQL and Python for data manipulation and analysis
  • Understanding of data extraction, transformation, and loading (ETL) techniques, with a preference for experience with ETL tools (e.g. Dataiku)
  • Experience on platforms such as Azure, Google Cloud Platform, AWS is an asset

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