Data Analyst Intern

About the Role:

Participate to the set up of a new data environment for Allianz Trade businesses based on state of the art technology (AWS, Snowflake, Microstrategy...). The trainees will support different Technical & Business Squads in the data exploration and development of new capability.

We are seeking a motivated and detail-oriented Data Analyst Intern to join our Data team. This internship offers an excellent opportunity to gain hands-on experience in data analysis, data visualization, and data-driven decision-making processes. The successful candidate will work closely with experienced data professionals and contribute to various projects that support our business objectives with an international exposure.

Key Responsibilities: 

• Data Collection & Cleaning: Assist in collecting, cleaning, and organizing large datasets from various sources to ensure data quality and consistency.
• Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and insights that can inform business decisions.
• Data Visualization: Create compelling data visualizations and dashboards using tools such as Microstrategy to communicate findings effectively.
• Reporting: Generate regular and ad-hoc reports to support various departments and stakeholders.
• Collaboration: Work closely with team members to understand data needs and provide analytical support for ongoing projects.
• Documentation: Maintain thorough documentation of data processes, methodologies, and findings.
• Learning & Development: Engage in continuous learning and development by participating in training sessions, workshops, and team meetings.

**Profile/**Required Skills:

• Currently enrolled in a Master's degree program in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Familiarity with data visualization tools such Microstrategy
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational skills.
• Good communication and presentation skills.
• Ability to work independently and as part of a team.

Personal Attributes : 

• Curiosity: A strong desire to learn and explore new data techniques and tools.
• Initiative: Proactive and able to take the initiative in identifying and solving problems.
• Team Player: Collaborative and able to work effectively with diverse teams.
• Adaptability: Flexible and able to adapt to changing priorities and project requirements.