Chief Data Insights Specialist
3 days ago
With a strong background in data analysis techniques and tools, the successful candidate will be responsible for gathering, analyzing, and interpreting data to help improve business operations.
The role requires a deep understanding of statistical analysis, predictive modeling, and machine learning techniques. The ideal candidate will have experience with data visualization tools such as Power BI, Tableau, or similar platforms.
Key Responsibilities:- Data Collection & Management: Collect, clean, and manage large datasets from various sources, including production data, sales data, customer feedback, and supply chain metrics.
- Data Analysis: Analyze complex data sets to identify trends, patterns, and correlations using statistical tools.
- Performance Monitoring: Develop and monitor key performance indicators (KPIs) related to production efficiency, sales performance, customer satisfaction, and other business operations.
- Reporting & Visualization: Create clear and concise reports, dashboards, and visualizations to communicate findings to stakeholders.
- Predictive Analytics: Use machine learning techniques to forecast demand, optimize inventory levels, and identify potential issues in production or supply chains.
- Collaboration: Work closely with cross-functional teams to identify opportunities for efficiency improvements and support data-driven decision-making processes.
- Proven experience as a Data Analyst or in a similar role, preferably in a manufacturing or automotive industry.
- Proficiency in data analysis tools such as Excel, SQL, Python, R, or other relevant software.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Results-driven environment with a focus on delivering data-driven insights that impact business performance.
- Opportunity to work effectively in a team environment and manage multiple tasks simultaneously.
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