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Summary- Support Lenovo's After Point of Sales (APOS) for Entreprise Computing business. Performdata analysis and data modelling problems at scale, and producing data models that drive meaningful business impact
Responsibilities
- Be the unique focal to cover business requirement from After Point of Sales (APOS) team
- In charge of APOS related data foundation; Collect, clean, and validate data from multiple sources to ensure APOS data accuracy and reliability
- Build and maintain dashboards to track APOS business performance using Power BI
- Work with cross-functional teams to understand APOS business needs and define analysis requirements
- Perform ad-hoc analysis to support APOS business decisions and strategic planning
- Execute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency
- Developing, refining and bringing data models to production. This role will work on models that are consumed by our internal users: you're not building internal tools or one time reports, but working on the actual product that our users consume and rely on every day
Requirements
- Bachelor degree above in computer science or statistics
- 3+ Years working and coding in a programing language like SQL, Python, Ruby, etc.
- Professional experience in data analysis using Power BI application for data analysis, reporting and visualization.
- Good at English and have good communication skills
- Rich experience working on engineering, data analysis and data modelling problems at scale, and producing data models that drive meaningful business impact
- Comfortable and fluent with high level Math and Statistics concepts
- Experience in data driven business insight recommendations, business analytics, dashboard design experience.
- Rich experience designing and fine tuning algorithms. You are challenge driven and enjoy solving difficult problems while ensuring data accuracy
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
