Project Management jobs in Singapour

Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.

We are seeking a proactive and detail-oriented Senior Returns Analyst to join our agile, pod-based RMA team. This role is critical in managing Return Material Authorization (RMA) processes end-to-end, with a focus on supporting customers who prefer to communicate in Mandarin. The ideal candidate will also possess strong analytical and problem solving skills with data insights to enhance operational efficiency and customer satisfaction.

• Develop and maintain customer-specific RMA dashboards and reports using tools such as Power BI, Excel.

• Analyze RMA trends, failure modes, and turnaround times to identify improvement opportunities.

• Present data-driven insights to internal stakeholders and customers during reviews or escalations.

• Serves as the primary RMA contact for customers who prefer Mandarin, ensuring clear communication and timely updates.

• Manage RMA cases through the full lifecycle: intake, Failure Analysis (FA), Customer Failure Analysis (CFA), repair, rework, and closure.

• Collaborate with internal teams (Quality, Engineering, Operations) to resolve customer issues efficiently.

• Operate within a cross-functional pod structure to ensure agility, load balancing, and redundancy.

• Participate in daily pod stand-ups, case reviews, and retrospectives to drive team performance.

• Support pod-level metrics tracking and continuous improvement initiatives.

• Proficiency in English and Mandarin (spoken and written)

• Strong analytical skills with experience in Power BI, Excel (pivot tables, formulas), and basic SQL.

• Familiarity with Jira workflows and ticketing systems is a plus.

• Excellent communication and interpersonal skills.

• Ability to work independently and collaboratively in a fast-paced, pod-based team environment.

• Experience working with Chinese OEMs or customers in the semiconductor, electronics, or manufacturing sectors.

• Knowledge of FA/CFA processes and root cause analysis methodologies.

• Comfortable presenting data insights to both technical and non-technical audiences.

• Strong analytical and problem-solving skills capabilities

• Ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.

• Strong leadership and stakeholder management capabilities.

• Excellent project management skill including planning, execution and reporting.

• Technical proficiency in data analytic and system integration.

• Analytical mindset with a focus on process improvement and quality assurance.

• Flexibility to work across time zones and manage frequent travel demands.

• Bachelor’s or Diploma’s in Business Administration, Operations Management, Supply Chain, or related field.

As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.

Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.