Senior Data Analyst

As a Data Analyst at our company, your primary responsibilities will include: - Conducting in-depth data analysis to identify trends and patterns - Collaborating with stakeholders to define data requirements - Providing data-driven insights to support business objectives - Creating Conceptual, Logical & Physical data model for multiple database schemas - Developing and implementing robust machine learning models to tackle complex business challenges - Applying advanced statistical techniques for predictive modeling and classification - Communicating complex findings to both technical and non-technical stakeholders - Staying up to date with emerging data analysis technologies and best practices to identify opportunities for process improvement Your profile should meet the following qualifications: - Proven experience as a Data Analyst with at least 8-12 years in a senior role - Bachelors degree in data science, Statistics, or a related field (masters 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) - 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 Additionally, the company you will be working with is thyssenkrupp Materials Services. For more information, you can visit their website at thyssenkrupp-materials-services.com. If you have any further questions, you can contact Khushboo Rajani at tkmits-in-recruitment@thyssenkrupp-materials.com. As a Data Analyst at our company, your primary responsibilities will include: - Conducting in-depth data analysis to identify trends and patterns - Collaborating with stakeholders to define data requirements - Providing data-driven insights to support business objectives - Creating Conceptual, Logical & Physical data model for multiple database schemas - Developing and implementing robust machine learning models to tackle complex business challenges - Applying advanced statistical techniques for predictive modeling and classification - Communicating complex findings to both technical and non-technical stakeholders - Staying up to date with emerging data analysis technologies and best practices to identify opportunities for process improvement Your profile should meet the following qualifications: - Proven experience as a Data Analyst with at least 8-12 years in a senior role - Bachelors degree in data science, Statistics, or a related field (masters 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) - 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 Additionally, the company you will be working with is thyssenkrupp Materials Services. For more information, you can visit their website at thyssenkrupp-materials-services.com. If you have any further questions, you can contact Khushboo Rajani at tkmits-in-recruitment@thyssenkrupp-materials.com.