Data Insights Engineer
2 months ago
D-SIMLAB TECHNOLOGIES PTE. LTD.
Salary: $80,000 - $110,000 per annum
The Role
Job Summary:
Data analysts play a pivotal role in optimizing semiconductor manufacturing processes by extracting insights from large datasets. As a Data Analyst at D-SIMLAB TECHNOLOGIES PTE. LTD., you will be responsible for collecting, cleaning, and analyzing data to ensure consistency, completeness, and correctness.
Main Responsibilities:
- Data Extraction and Analysis:
Collect large datasets from semiconductor manufacturing environments, clean them, and analyze to identify patterns, trends, and anomalies that impact production performance. - Performance Evaluation:
Analyze the gap between planned and actual production outcomes, identify root causes for performance deviations, and recommend strategies for process improvement. - Data-Driven Insights:
Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Collaborate with clients to understand their specific needs and translate data findings into operational improvements. - ETL and Data Modeling:
Build and maintain ETL processes to integrate data from various sources into D-SIMLAB's data models. Ensure accurate and reliable data is fed into models. - Consultation Services:
Offer data-driven recommendations for enhancing production efficiency. Present analyses and proposals to technical and non-technical stakeholders. - Data Visualization and Reporting:
Create dashboards and reports using advanced data visualization tools to communicate key insights effectively. Continuously improve reporting mechanisms to provide real-time insights.
Candidate Requirements:
- Education:
Bachelor's/Master's degree in Data Science, Computer Science, Industrial Engineering, or related field. - Experience:
Strong analytical skills with a minimum of 2 years of experience in data analysis. Semiconductor experience is advantageous. - Technical Skills:
Proficiency in SQL and Microsoft Excel. Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable. - Soft Skills:
Ability to work collaboratively in multicultural teams. Excellent communication and presentation skills to convey complex data insights. - Willingness to Travel:
Will travel internationally for projects and collaborate closely with clients and internal teams.
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