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Junior Data Analyst Finance

Swiss Re

Information about the position

  • Place of work: Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
  • Basic wage component (gross) and other rewards: From 1 300 EUR/monthOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.
  • Contract type: full-time

Job description, responsibilities and duties

Are data your passion? Use your unique talent and become our sole data analyst!

We are looking for a data analyst to help our finance community in providing consistent, reliable and timely information to its clients.

If you are happy to share your knowledge and want to help finance build innovative reporting solutions, join us!

There are 2 main areas that the team operates in, and the role is to become an expert in one of those areas, while also developing skills and knowledge to be able to work with team members specialising in the other area.

Reporting Operations Area is responsible for the maintenance and review of Standard Reports, definition and set-up of new report standards and support training activities.

The Master Data and Quality Assurance Area is steering and maintaining information to ease management reporting. The main drivers are booking and organizational structure attributes (Profit Centres and Types of Amount). The team has to make sure that the data and attributes are consistent and reliable.

Your main tasks:

• Involvement in advanced analytics reporting solutions with a focus on data related tasks
• Data extraction, preparation, transformation
• Support the design and implementation of production-grade solutions, supporting the team that implements the in-production solution in the hand-over process
• Help with integration of technical solutions into business contexts
• Communication with internal clients, acquisition of business knowledge to achieve proper data interpretation and work with the clients on their needs regarding data acquisition
• Train other team members
• Working with cross-functional and/or virtual teams
• Ensure that data and attributes used by reporting systems are consistent and reliable
• Ensure that reporting system accurately delivers information required by stakeholders
• Perform testing and data maintenance tasks in timely manner
• Maintain documentation and knowledge database

Information about the selection process

This job offer is suitable for people who have been impacted by the invasion of Ukraine.

We are an equal opportunity employer, and we value diversity at our company. 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 education (Bachelor's degree)
University education (Master's degree)

Language skills

English - Upper intermediate (B2)

Other knowledge

Python - Advanced

Personality requirements and skills

• Degree in Computer Science, Applied Mathematics, Statistics or related quantitative field
• Solid Experience with public cloud solutions (Azure or other)
• Knowledge of Python needed, other languages and techniques like R, SQL, NOSQL, PowerBI are welcome
• Analytical problem-solving skills and ability to assimilate complex information.
• Flexible and open minded - committed to a permanent learning experience
• Interest and prior knowledge in machine learning, statistical modeling and related technologies
•Ability to fluently communicate in English across various groups of people

Advantageous skills
• Experience in distributed computing (e.g. Spark)
• Specific knowledge of Finance or insurance field


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