Operational Responsibilities :
- Responsible to generate models based on business requirements
- Should work closely with the data scientist, onshore and offshore team to understand different business scenario, automate and create models in R
- Should be able to identify anomalies in data using different statistical tool
- Suggest model change based on the change in business dynamic & data trends
- Responsible to document all the changes made in the models & business requirements
- Responsible to generate forecast for warranty expense based on history
- Should be able to generate models to understand parts requirement based on history
- Leverage root causes identified during Problem Resolution process to create new rules to automate emerging issue detection
- Observe emerging Issue detection process and look for ways to continuously improve it
- Support ad-hoc complex analysis
- Leverage multiple - R- tools to conduct more complex warranty analysis: - R- Enterprise Guide, - R- Enterprise Miner, - R- Text Miner, - R Base programming.
- Automate ad-hoc complex analysis proven useful to enable junior analyst to use them on a recurrent basis. Train Junior Analyst on new ad-hoc analysis developed by Analyst Experts.
- Explore new root cause analysis methodologies with warranty expert analysts and reliability engineers as a way to continuously improve the warranty analytics team capabilities
Must Have
Technical Skills :
- Experienced in R modelling in warranty / spare parts management area
- Experienced Base R programmer
- Experienced Enterprise Guide / Enterprise Miner User
- Experienced in Analytics Solutions as a developer
- Experience in statistical/predictive modelling techniques like regression, multivariate analysis, forecasting, and reliability models, clustering techniques using - R- or any other statistical tool such SPSS, Statistical, JMP
- Expert level capability in use of desktop software (MS Office Suite, with focus on analytical skills in Excel)
Education Qualifications / Experience :
- Master in Stats / Economics and / or Engineering Grads
- Experience in Hi-Tech, Mobile handset, Heavy Equipment industry
- Experience in managing after-sales service chain in warranty, reliability and product quality
- Work experience of 5-8 years of experience
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