Sr. Data Analyst
Ultra Clean Technology View all jobs
- Cebu
- Permanent
- Full-time
- Gather data from multiple sources, including quality management systems, production databases, and customer feedback.
- Clean, organize, and validate data to ensure accuracy and reliability.
- Perform statistical analysis and use visualization tools to identify patterns, trends, and anomalies related to product and service quality.
- Develop, maintain, and publish dashboards and performance metrics for Quality and EHS indicators.
- Monitor metrics regularly and provide timely reports to stakeholders, highlighting risks and improvement opportunities.
- Collaborate with cross-functional teams to enable root cause analysis and verify corrective/preventive actions.
- Design and manage analytics projects using Power BI and other platforms to visualize and report quality trends.
- Utilize SharePoint for collaborative data sharing and real-time access.
- Apply advanced statistical techniques and predictive modeling (preferably machine learning) to forecast potential quality issues.
- Ensure seamless integration between Total Quality Management (TQM) systems and analytics platforms.
- Prepare executive-level reports and presentations summarizing insights, trends, and actionable recommendations.
- Conduct risk assessments using historical and predictive data to mitigate potential failures.
- Lead review meetings with stakeholders to discuss findings and adjust strategies accordingly.
- Strong knowledge of manufacturing business processes including processes, tool, practices.
- Good data analysis capability to identify issue, develop solutions and implementation.
- Good interpersonal and communication skills
- Bachelor's degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related field.
- At least 3 years of relevant experience in a data analytics role, background in quality assurance, or a related field is a plus.
- Expert proficiency in Microsoft Power BI and SharePoint for data analyses and enterprise-level information development and sharing.
- Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
- Experience with statistical analysis, data mining, and predictive modeling techniques.
- Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders.
- Attention to detail and a passion for continuous improvement.
- Ability to work independently and collaboratively in a fast-paced environment.
- Project Management skill is a plus.