Skills:
- Strong experience in business analysis and data analysis using statistical techniques
- Considerable knowledge analyzing aftermarket data and concluding rejection rate, repeat contact, repeat dispatch, regional/product/commodity failure analysis
- Should have experience in data analytics packages and programming tools such as R, SAS, SPSS etc.
- Pragmatic and business-oriented approach to problem solving
- Prepares technical reports by collecting, analyzing, and summarizing information and trends.
- Consults with functional unit management and personnel to identify, define and document business needs and objectives, current operational procedures, problems, input and output requirements, and levels of systems access.
- Self-driven
- Effective listening skills; ability to ask good questions, and to quickly absorb new concepts
- Effective personal and interactive communication skills; ability to effectively interact at various management levels and customer
- Multitasking on complex assignments
- Familiar with a variety of data storage, extraction, and cleansing techniques (Desired but not necessary )
- Minimum 3 Years in quantitative analysis, business analysis, data analysis
- Bachelors in Engineering, BSc (Maths, Statistics, Computer Science) Good to have Experience: Data storage, extraction and cleansing techniques
- Masters in Engineering, Operations Management, Statistics, Computer Science Industry:
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