Your responsibilities
- Conduct in-depth data analysis to identify trends and patterns.
- Collaborate with stakeholders to define data requirements.
- Provide data-driven insights to support business objectives.
- Create Conceptual, Logical & Physical data model for multiple database schemas.
- Proven experience in Relational & NoSQL Databases
- Develop and implement robust machine learning models to tackle complex business challenges.
- Apply advanced statistical techniques for predictive modeling and classification.
- Ability to communicate complex findings to both technical and non-technical stakeholders.
- Stay upto date with emerging data analyis technologies and best practices to identify opportunities for process improvement..
Your profile
- Proven experience as a Data Analyst with at least 8-12 years in a senior role.
- Bachelor's degree in data science, Statistics, or a related field (master's degree preferred).
- Advanced proficiency in data analysis methodologies and tools
- Strong understanding of statistical analysis.
- Proficiency in data analysis tools (e.g., Python, R, SQL)
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Advanced proficiency in data analysis methodologies and tools
- Strong understanding of statistical analysis.
- Good to have - Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure or GCP, preferably AWS).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and lead a team.
- Work Location: Thane (Mumbai)
Your benefits
We value diversity
We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, and sexual orientation and identity.
Company
Home - thyssenkrupp Materials Services (thyssenkrupp-materials-services.com)
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