[ref. b93001022] Data Analyst
Job Description: Data Analyst
As a Data Analyst at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients.The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.
Key Responsibilities:
- Data Extraction and Analysis:
Use statistical methods and data mining techniques 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 data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
- Data-Driven Insights:
- ETL and Data Modeling:
- Consultation Services:
Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
- Data Visualization and Reporting:
- Collaboration with Teams:
Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.
Candidate Requirements:
- Education:
- Experience:
- Technical Skills:
Proficiency in SQL and Microsoft Excel.
Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.Experience with ETL processes and database management.
- Analytical Abilities:
- Soft Skills:
Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Willingness to Travel:
Willing to travel for international projects and collaborate closely with clients and internal teams.