Job Overview:
We are looking for a talented and analytical Data Analyst / Data Scientist to join our team. In this role, you will be responsible for analyzing complex data sets, deriving actionable insights, and helping drive data-driven decision-making across the organization. If you have strong technical skills, an eye for detail, and a passion for solving problems with data, this is an excellent opportunity to grow your career in data science.
Key Responsibilities:
- Collect, clean, and analyze large datasets to uncover trends, patterns, and insights.
- Design and implement data models to solve business problems and support decision-making.
- Create and maintain data visualizations and dashboards using tools such as Power BI or Tableau.
- Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources.
- Apply statistical methods and machine learning techniques to analyze and forecast business outcomes.
- Communicate findings and insights to stakeholders in clear, actionable formats (reports, presentations, etc.).
- Collaborate with business units and technical teams to understand data requirements and provide solutions.
Qualifications:
- Degree in Data Science, Statistics, Computer Science, or a related field.
- Proficiency in SQL for querying relational databases and handling large datasets.
- Strong experience with programming languages such as Python and R for data analysis and modeling.
- Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
- Strong problem-solving skills with the ability to approach complex problems logically and systematically.
- Excellent communication skills in English. German proficiency is preferred for client-facing roles.
- Ability to work both independently and as part of a team in a collaborative environment.
Nice to Have:
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Knowledge of data warehousing and ETL tools.
- Experience with machine learning techniques (e.g., deep learning, natural language processing).