Data Analyst; m​/f​/x

Overview

Your mission

Performing data analyses and summarizing financially relevant data from various departments (i.e., target/actual comparisons, KPIs, etc.).

Creating and further developing code-based reports and BI dashboards with a quantitative focus for various stakeholders.

Supporting the maintenance, validation, and documentation of databases, data pipelines, and software interfaces.

Improving data quality using appropriate tools, further developing existing collection methods, and visualizing the results.

Automation and optimization of processes as well as support in rollouts of new data solutions and digitization initiatives.

Performing backtests on raw data for analysis and evaluation of investment, fund, and company data.

Support in administrative tasks such as coordinating data access or reporting requests and preparing presentation content.

• Performing data analyses and summarizing financially relevant data from various departments (i.e., target/actual comparisons, KPIs, etc.)
• Creating and further developing code-based reports and BI dashboards with a quantitative focus for various stakeholders
• Supporting the maintenance, validation, and documentation of databases, data pipelines, and software interfaces
• Improving data quality using appropriate tools, further developing existing collection methods, and visualizing the results
• Automation and optimization of processes as well as support in rollouts of new data solutions and digitization initiatives
• Performing backtests on raw data for analysis and evaluation of investment, fund, and company data
• Support in administrative tasks such as coordinating data access or reporting requests and preparing presentation content

• Degree in data science, business informatics, computer science, or a comparable qualification
• 2 to 5 years of professional experience in a data-driven environment
• Solid knowledge of R, Python, SQL, and Excel
• Knowledge of quantitative financial analysis and data interpretation in an investment context
• Strong affinity for numbers, analytical skills, results-oriented approach, and willingness to learn
• Confident written and spoken German, ideally good English skills
• Independent, self-reliant approach to working in a team

• Dynamically growing company with flat hierarchies
• A wide range of creative opportunities
• Committed and motivated team
• Attractive salary package
• Training and development opportunities
• Flexible working hours
• Modern offices in a central location

We look forward to receiving your application!

Please fill out our online application form and upload your complete application documents. Once we have received your documents, we will send you a confirmation.

Please note that we can only accept applications submitted via the online form.