Data Analyst
Indexed description
Why you’ll love working for Siemens!
- Freedom and a healthy work-life balance – Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
- Solve the world’s most significant problems – Be part of exciting and innovative projects.
- Engaging, challenging, and fast-evolving environment – Work with cutting-edge technology in a global network.
- Career growth opportunities – Access to local and global mentorship programs and learning platforms.
- Social responsibility – Contribute to our initiatives focused on education, technology access, and community sustainability.
- Culture of celebration and recognition – Participate in events, innovation programs, and team-building activities.
- Bring your ideas to life – Share and implement your innovative solutions and get recognized for your impact.
- We value diversity – Inclusion and belonging are part of who we are.
- Collect, clean, and process data from various sources, ensuring data integrity and quality.
- Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
- Conduct exploratory data analysis (EDA) to uncover insights and support decision-making.
- Create predictive models using machine learning techniques to forecast trends and improve processes.
- Knowledge of AI techniques (NLP, Computer Vision, Chatbots) for advanced analytics.
- Collaborate with cross-functional teams to understand data requirements.
- Design and maintain data pipelines, automating data collection and processing.
- Conduct data validation and troubleshooting to resolve data-related issues.
- Document data processes, procedures, and guidelines for consistency.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- At least 1 year of experience in data analysis or a related role.
- Advanced English proficiency.
- Experience working with cross-functional teams.
- Familiarity with SAP or other ERP systems is a plus
- Advanced proficiency in SQL, Python, and data visualization tools (Tableau, Power BI).
- Strong knowledge of data analysis techniques, including regression, classification, clustering, and time series analysis.
- Proficiency in machine learning frameworks.
- Knowledge of cloud data platforms (Snowflake, AWS, Azure).
- Excellent problem-solving and analytical skills.
- Effective communication skills for presenting findings to non-technical stakeholders.
- Analytical Thinking
- Effective Communication
- Collaboration
Location: Santa Catarina, Nuevo Leon
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