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Intern Data Analyst
Swiss Re
- Place of work: Mlynské nivy 12, 811 09 Bratislava
- Basic wage component (gross) and other rewards: From 6 EUR/hourOur 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.
- Contract type: part-time
Job description, responsibilities and duties
About the Team
The Pricing team consists of 15 colleagues based across 6 locations in Europe with expansion plans. We are responsible for the design of life & health products and the setting of customer premiums as well as ongoing monitoring and profitability reviews.
Reporting to a Head of Actuarial Portfolio Analytics, you will support iptiQ's Life and Health Pricing Team.
About the Role
We are looking for a student intern, interested to learn more in area of Actuarial Science / Business Intelligence:
• Student internship offering for 50% contract (average 20h/week worktime)
• Create and maintain Tableau Dashboards for portfolio monitoring purposes
• Participate to the data checks using R as a programming language
• Get exposed to the experience analysis technics in Life & Health insurance
• Work with business units especially with the Technology / Data team.
The Pricing team consists of 15 colleagues based across 6 locations in Europe with expansion plans. We are responsible for the design of life & health products and the setting of customer premiums as well as ongoing monitoring and profitability reviews.
Reporting to a Head of Actuarial Portfolio Analytics, you will support iptiQ's Life and Health Pricing Team.
About the Role
We are looking for a student intern, interested to learn more in area of Actuarial Science / Business Intelligence:
• Student internship offering for 50% contract (average 20h/week worktime)
• Create and maintain Tableau Dashboards for portfolio monitoring purposes
• Participate to the data checks using R as a programming language
• Get exposed to the experience analysis technics in Life & Health insurance
• Work with business units especially with the Technology / Data team.
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.
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 student
University education (Bachelor's degree)
University education (Bachelor's degree)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
• Ideally a student of 4/5th year of university in • IT, Engineering or equivalent field
• Have curiosity about Data Analytics
• Be proficient in MS Excel and R or any other programming languages
• 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
• Have curiosity about Data Analytics
• Be proficient in MS Excel and R or any other programming languages
• 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
Advertiser
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