About Company
Siemens AG is a global powerhouse focusing on electrification, automation, and digitalization. As one of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions, the company plays a pioneering role. With a rich history spanning over 175 years, Siemens is committed to innovation, sustainability, and creating a better future through technology. We believe in empowering our employees and fostering a culture of continuous learning and growth, making us an ideal environment for those looking to kickstart or advance their careers in a dynamic global setting.
Job Description
Are you passionate about uncovering insights from data and eager to launch your career in a global technology leader? Siemens AG is thrilled to offer an exciting opportunity for a highly motivated Data Analyst to join our dynamic team in Munich. This role is specifically designed for individuals who are ready to dive headfirst into the world of data analytics, even if they possess limited prior professional experience. We firmly believe in nurturing talent from the ground up, and as such, comprehensive training will be meticulously provided to equip you with the essential tools, methodologies, and domain knowledge required to excel in this pivotal and evolving function within our organization. You will gain a deep understanding of Siemens’ complex business landscape and how data underpins our operational excellence and strategic growth.
As a Data Analyst at Siemens, you will play a crucial role in transforming raw, often complex, data into actionable intelligence, directly supporting strategic decision-making across various crucial business units. You will work closely alongside experienced data scientists, engineers, and business leaders, gaining invaluable hands-on experience in the entire data lifecycle: from rigorous data collection and meticulous cleaning to sophisticated processing, in-depth analysis, and compelling visualization. This isn’t just a job; it’s a structured learning journey where you’ll contribute meaningfully to real-world projects from your very first day, helping to optimize operations, identify critical market trends, and significantly enhance overall business performance. Our diverse range of projects could span from optimizing intricate supply chains and analyzing intricate customer behavior patterns to improving operational efficiency across our vast industrial portfolio and extracting key market insights, offering a rich variety of challenges and unparalleled learning opportunities.
We are looking for an individual with an inherently strong analytical mindset, a keen eye for granular detail, and an insatiable curiosity for the stories that data can tell. If you are a proactive problem-solver who genuinely enjoys working with numbers and is excited by the prospect of turning complex datasets into clear, concise, and persuasive narratives, then this foundational role is unequivocally for you. You will be instrumental in developing robust reports, creating intuitive and interactive dashboards, and confidently presenting your data-backed findings to diverse stakeholders, thereby making a tangible and measurable impact on our overarching business strategies. Siemens fosters an inclusive, supportive, and highly collaborative environment where your innovative ideas are not only valued but actively encouraged, and your professional development is treated as a paramount priority. Join us and become an integral part of a forward-thinking team that is actively shaping the future of industrial technology and innovation through cutting-edge, data-driven insights. This is your chance to grow into a data expert within a world-renowned enterprise.
Key Responsibilities
- Participate in comprehensive training programs to develop core data analysis skills and tools.
- Collect, clean, and pre-process raw data from various sources to ensure data quality and integrity.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports, dashboards, and visualizations using appropriate tools to communicate insights effectively.
- Assist in the interpretation of data analysis results and provide recommendations to business stakeholders.
- Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.
- Support the implementation and monitoring of data-driven solutions.
- Continuously learn and stay updated with the latest data analysis techniques and technologies.
Required Skills
- Strong analytical and problem-solving skills with an attention to detail.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Basic understanding of statistical concepts.
- Eagerness to learn new technologies and analytical methods.
- Excellent verbal and written communication skills in English.
- Ability to work effectively in a team-oriented, collaborative environment.
Preferred Qualifications
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline.
- Familiarity with SQL for data querying.
- Exposure to data visualization tools (e.g., Tableau, Power BI) or programming languages (e.g., Python, R).
- Prior internship or academic project experience involving data analysis.
- Knowledge of German is a plus, but not required.
Perks & Benefits
- Comprehensive training and professional development programs.
- Competitive salary package and performance-based bonuses.
- Flexible working arrangements and work-life balance initiatives.
- Generous vacation policy and public transport subsidies.
- Access to Siemens' global network of experts and career advancement opportunities.
- Company pension scheme and comprehensive health benefits.
- On-site cafeteria, fitness center, and employee support programs.
How to Apply
Interested candidates are encouraged to apply directly through our careers portal by clicking the link below. Please ensure your resume highlights any relevant analytical experience, academic projects, or demonstrated enthusiasm for data. We look forward to reviewing your application!