Financial Data Analyst
vor 2 Monaten
We are seeking a highly motivated and detail-oriented Data Engineer to join our team at the University of St. Gallen. As a Data Engineer, you will play a crucial role in enhancing our large dataset, designing and maintaining the server-side of our web application, and collaborating with our front-end developers.
Key Responsibilities- Data Collection and Organization: You will be responsible for collecting and organizing data from various sources, including Compustat, to enhance the quality of our datasets. This involves understanding data structures, selecting relevant data, ensuring data is properly formatted and consistent, and detecting and correcting inaccuracies or errors.
- Data Analysis and Modelling: You will apply statistical and mathematical techniques to explore data, identify patterns and trends, and develop models to support our research.
- Code Development and Debugging: You will leverage programming languages such as Python, SQL, and JavaScript to write efficient code that processes and transforms large datasets.
- Data Visualization: You will propose and create visualizations, charts, and reports that communicate complex data analysis results to non-technical stakeholders in a concise manner.
- Server-Side Logic Development: You will create the code and logic that run on the server, handling requests from the client-side of our application.
- Server Infrastructure Management: You will be responsible for deploying and maintaining servers, ensuring they are available, scalable, and secure so that our data can be easily accessed and analyzed.
- Collaboration with Stakeholders: You will collaborate with our front-end developers and other technical roles to provide a seamless and engaging user experience.
- You are a reliable self-starter with a strong motivation to gain valuable experience in the technical development of a leading-edge economics application.
- You possess an advanced knowledge of R, web development in Python (ideally Django as well), and a good working knowledge of SQL.
- You have experience working with financial and accounting data.
- You are intrinsically motivated to solve complex problems.
- You communicate clearly and provide constructive feedback while contributing to a positive team culture.
- You know where to look for technical solutions to overcome potential obstacles independently.
- Previous experience with cloud computing, APIs, and other DevOps tools (Git, Docker, AWS, Unix shell) is an advantage.
Our team works closely together and actively shares knowledge while working in an agile way. We offer flexible working hours and location, with some presence in St. Gallen to exchange with the team. A network of highly motivated researchers at the SIAW-HSG will enable you to further broaden your horizon in applied economics.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are interested in learning more about the project and working culture, please contact Camilla Erencin.
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