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A recruitment services company based in Singapore is looking for a Data Analysis Engineer to lead data analysis for HDD optimization. The ideal candidate will have experience in the HDD industry and strong data analysis skills, including proficiency with analytical software. Responsibilities include developing predictive models and collaborating closely with various teams to drive improvements. A degree in Engineering or Science is required, and candidates should be adaptable and have excellent communication skills.
Job Title: Data Analysis Engineer (HDD) (ID1685)
Location: Pioneer, transport pick up Singapore and JB Bukit Indah
Working Hours: Mon to Fri 8:30am – 5:30pm
Salary: $4000 - $5000
Benefit: 14 days Annual Leave, AWS and Variable Bonus
Job Description
• Lead Data Analysis for Customer and Internal Team Purposes relating to H-M Matching & HDD Optimization
• Isolate Head & Media Component effect in HDD optimization
• Identify KPIV/Media Parameters that affect HDD Performance (Passrate/EC FR, HDD RW & Defect Performance)
• Develop a Modeling to predict HDD Performance in Media Development Stage, (KPIV/Parameter Matrix) as Media Parameter Monitoring.
• Close Collaborate with RD Team on HDD-Media Analysis Results & Findings.
• Support RTV FA and discuss with Internal for Root cause analysis and Improvement action
Requirement:
• Degree in Engineering, Science or Related Field, Master Education is a plus
• At least 1 years experience in HDD Industry and At least 2 years experience in Data Analysis or similar function
• Strong Data Analysis skills and ability to think critically
• Strong analytical and data interpretation skills
• Able to comprehend each analysis result relationship
• Able to adapt to change priorities and work in fast-paced environment
• Good Communication and interpersonal relationship skills and ability to collaborate with cross- functional teams
• Strong background and understanding in Analysis Software such as Minitab, Tableau, Spotfire, JMP, R or equivalent
• Proficient in MS Office software