面議(經常性薪資達4萬元或以上) 新竹市東區 5年工作經驗 14天前更新
【本職缺僅接受台積電官方網站投遞】
請至台積電官方網站投遞個人履歷表,此職缺履歷登錄網址:
https://careers.tsmc.com/careers/JobDetail?jobId=16608&source=1111
Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.
Are you passionate about driving success through agile processes and data-driven insights? As a Scrum & Talent Analytics Specialist, you will join in HR strategy planning cycling, optimize resources, boost talent analytics insight, and deliver solutions with the teams together. This role blends Scrum management, data analysis, digital opportunity pathfinding, and cross-domain HR knowledge to execute HR priorities and build capabilities. If you excel in dynamic, global environments and value innovation and collaboration, this role is for you!
Responsibilities:
1. Scrum management
(1) Support the facilitation on HR divisional priority planning.
(2) Support Org & Talent feature release and related product communication for business needs.
2. Data collection and insights analysis
(1) Monitor HR product effectiveness and identify opportunities for improvement.
(2) Observations with ad-hoc data request and analysis.
3. Knowledge management & capability building
(1) Support HR cross-domain research team for bringing outside in market insight and internalizing it into Org & Talent product and feature.
(2) Support HR cross-domain knowledge management and capability building.
4. Resource pooling management
(1) Support the in-division resource planning and deployment.
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