Assistant Consumer Data Analyst
@ Shiseido

Paris, Ile-de-France, France
€45,000
On Site
Full Time
Posted 2 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @shiseido.com
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Job Details

Overview

The Assistant Consumer Data Analyst at Shiseido will maintain and improve Tableau dashboards, respond to ad hoc data requests, conduct analysis on secondary data sources, and assist with ongoing database enhancements. The role supports strategic projects including CRM and E-commerce initiatives and provides general assistance to solve various data challenges.

Key Responsibilities

  • Maintain and improve Tableau dashboards for accuracy and usability.
  • Respond to ad hoc data requests and support insights needs.
  • Conduct analysis on secondary data sources and streamline reporting.
  • Assist with ongoing database enhancements and ensure data quality.
  • Contribute to strategic projects such as CRM and E-commerce initiatives.
  • Provide general assistance to the team in solving data challenges.

Profile Sought

  • Pursuing a master’s degree or equivalent experience in Business, Analytics, Engineering, or related field.
  • Proficient with Excel, SQL, and Tableau.
  • Fluent in French and English.
  • Tenacious, curious, rigorous, and business-oriented mindset.
  • Experience with dashboarding, analytics, or data projects is a plus.

Key skills/competency

Tableau, Excel, SQL, Data Analysis, Dashboarding, CRM, E-commerce, Reporting, Analytics, Database

How to Get Hired at Shiseido

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight relevant technical and analytical skills.
  • Research Shiseido: Understand their market position and projects.
  • Showcase dashboard experience: Provide specific work examples.
  • Prepare for interviews: Review common analytics and data case studies.

📝 Interview Preparation Advice

Technical Preparation

Review Tableau dashboard best practices.
Brush up on SQL queries.
Practice Excel data manipulation.
Study data quality management.

Behavioral Questions

Describe a time you solved data problems.
Explain your teamwork approach in analytics.
How do you handle tight deadlines?
Share an experience improving data quality.

Frequently Asked Questions