Data Analyst Internship
@ Allianz Insurance

France
€25,000
On Site
Full Time
Posted 2 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @allianz.com
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Job Details

Overview

The Data Analyst Internship at Allianz Insurance offers hands-on experience in setting up new data environments using state-of-the-art technology such as AWS, Snowflake, and Microstrategy. Interns will work with both technical and business squads to explore data and develop new capabilities.

Role & Responsibilities

As a Data Analyst Intern, you will:

  • Assist in collecting, cleaning, and organizing large datasets.
  • Perform exploratory data analysis to identify trends and patterns.
  • Create data visualizations and dashboards using Microstrategy.
  • Generate regular and ad-hoc reports for stakeholders.
  • Collaborate with team members to meet data needs.
  • Maintain documentation of processes and findings.
  • Engage in continuous learning through training sessions and workshops.

Challenge

The internship is designed for motivated, detail-oriented candidates looking to build skills in data analysis and decision-making with international exposure.

Key skills/competency

AWS, Snowflake, Microstrategy, data collection, data cleaning, exploratory analysis, data visualization, reporting, collaboration, documentation

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How to Get Hired at Allianz Insurance

🎯 Tips for Getting Hired

  • Research Allianz Insurance's culture: Explore mission, values, and recent news.
  • Customize your resume: Highlight data analysis and visualization skills.
  • Showcase project experience: Provide examples from internships or projects.
  • Prepare for interviews: Review technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review AWS basics and Snowflake architecture.
Practice data cleaning techniques on datasets.
Develop small projects with Microstrategy dashboards.
Study exploratory data analysis and visualization methods.

Behavioral Questions

Describe teamwork in a data project.
Explain how you handle tight deadlines.
Discuss a time you solved a data issue.
Share your learning experiences in data roles.

Frequently Asked Questions