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Data Analyst (student role)

Swiss Re

Information about the position

  • Place of work: Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
  • Basic wage component (gross) and other rewards: 9 EUR/hourOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
  • Contract type: agreement-based (Temporary jobs)

Job description, responsibilities and duties

About the role & team

We want to bring our reporting and data management to a new level and are looking for curious talents who want to be part of the journey. We are starting a new team that will take over the existing reports and radically automate and improve the data flow. As a next step this team will be responsible for data management and insights generation, developing from reporting to data engineering and analytics.
We are seeking talents with a passion for technology who are interested in developing into data engineers with a focus on their clients. You will collaborate with colleagues from Swiss Re's largest data science team to give you the support to grow in the analytical areas and get an easy introduction into our environment. Your focus will be on supporting automation, processes and data pipelines. Minimizing manual tasks and report generation to allow the team to focus on more challenging topics in data engineering and insights generation/analytics.
We collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

Responsibilities & Key Tasks

• Collecting data from various sources and systems
• Supporting the team in extraction preparation and transformation of data
• Helping the team design, develop and execute analytics solutions
• Proposing process changes to achieve efficiency
• Supporting data scientists in automation of manual processes, analysis and insights generation

Employee perks, benefits

You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Information about the selection process

Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Requirements for the employee

Candidates with education suit the position

University student

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

About You

• Ideally a university student of 4/5th year of study
• Have curiosity about Data Analytics
• Be proficient in MS Excel
• Strong analytical skills, ability to analyze large sets of data
• Commitment to data quality, attention to detail and solution oriented
• Demonstrate accuracy and commitment to quality
• Can-do attitude and willingness to learn
• English language proficiency

If you have any knowledge in programming in general or Python specifically you would also get opportunities to use and further develop this knowledge.


Brief description of the company

As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.

Number of employees

1000 and more employees