Sr. HR Data Analyst – People Analytics

We are seeking a Senior Analyst who will work on Global People Analytics and solutions. This is a global role and the candidate will be hired into the Global People Analytics team to design and develop complex organization-wide analytics Visualization and Models. This role would allow interaction with HR and Cross-Functional teams across Locations (More than 60 Countries) and Business Groups within Lenovo. The ideal candidate will be an individual with strong problem-solving, data analysis, and consulting skills, along with equally strong communication, presentation, and business intuition. We seek a self-starter who is adaptable to changing requirements and can work effectively with cross-functional teams.

Job Responsibilities:

• Communicate with stakeholders and other internal teams to understand business problems, gather business requests.
• Conduct data process and visualization with technical skill set.
• Develop compelling, logically structured presentations that can synthesize complex data into insights and action plan, develop and deliver complex reports of both internal & external people analytics and talent market intelligence.
• Act as a thought partner and domain expert on People analytics best practices and keep up to date on new trends in the field.

Job Requirements:

• Master's degree. Technical graduate degree preferred or equivalent practical experience.
• 4-7 years of related experience in data analytics-related work. Able to present and clearly communicate complex data, analyses, and findings to non-experts.
• Proficient in SQL syntax & database operations, Power BI, Python, SQL skills, MS Excel, PPT, etc.
• Fluent in English, both verbal and written, could work bilingual with global team.
• Should love numbers and be passionate about applying data analytics to solve HR Strategy and business problems, with a strong urge to learn, drive, and innovate.
• History of building strong collaborative relationships and influencing peers and executive-level stakeholders with data, research, and compelling narrative content.