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Position: Data Analyst
Institution: Quantum Leben AG
Location: Vaduz, Austria, Switzerland, Germany, Liechtenstein
Duties: Gather data: Analysts often collect data themselves. We expect you to work with our partners to ensure data is delivered in a pre-agreed and timely fashion; Clean data: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won’t be wrong or skewed; Model data: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears
Requirements: Graduated in data science, mathematics, finance or related fields; Knowledge of data processing tools is highly advantageous; Programming skills, e.g. in SQL and Python, are an additional asset; Fluent in German, preferably also in English
   
Text: Quantum Leben AG · Städtle 18 · 9490 Vaduz · Liechtenstein · Registernummer FL-0002.124.995-9 Telefon +423 236 19 30 · Fax +423 236 19 31 · www.quantumleben.com · info@quantumleben.com Data Analyst 80-100%, Vaduz/Liechtenstein Quantum Leben is an independent life insurer, based in Vaduz, Liechtenstein and operating across Europe under the freedom of services. We have a strong focus on biometric risk and income protection products: Term life, Disability, Accident/Sickness and related perils. We are looking for a data analyst to join our small team, working at the interface between our business partners, actuaries and risk management. Ideally, you are a young professional graduated in data science, mathematics or finance, or you have comparable training and experience. As part of the team, your work includes  Gather data: Analysts often collect data themselves. We expect you to work with our partners to ensure data is delivered in a pre-agreed and timely fashion  Clean data: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won’t be wrong or skewed.  Model data: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears.  Interpret data: Interpreting data will involve finding patterns or trends in data that could answer the question at hand.  Present your insight: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties. Your skills and experience  Problem solving: We expect you to develop a good understanding of the questions being asked and the problems that need to be solved. You also should be able to find patterns or trends that might reveal a story. Having the critical thinking skills will allow you to focus on the right types of data, recognize the most revealing methods of analysis, and catch gaps in your work.  Communication: Being able to get your ideas across to other people will be crucial to your work as a data analyst. Strong written and speaking skills to communicate with colleagues and other stakeholders are good assets in data analysts  An engaging and inquisitive personality, always looking to solve problems and find solutions  Graduated in data science, mathematics, finance or related fields  Business acumen and intellectual curiosity  Knowledge of data processing tools is highly advantageous  Programming skills, e.g. in SQL and Python, are an additional asset  Fluent in German, preferably also in English If you are interested, please contact: Quantum Leben AG Städtle 18 | 9490 Vaduz | Liechtenstein Contact: Martin Kampik, +423 236 1946 or send an email to: hr@quantumleben.com
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