Roles & Responsibilities
- Develop statistical methodologies and deploy analytical tools to support different business initiatives
- Continual enhancement of statistical techniques and their applications in solving business objectives
- Compile and analyze the results from modeling output and translate into actionable insights
- Acquire and share deep knowledge of data utilized by the team and its business partners
- Participate in global conference calls and meetings as needed and manage multiple customer interfaces
- Execute analytics special studies and ad hoc analyses
- Evaluate new tools and technologies to improve analytical processes
- Set own priorities and timelines to accomplish projects (accountability for project deliverables)
- Further development of relevant analytical tools and processes in close cooperation with the global teams, especially with regard to European aspects
- Definition of new tasks and the necessary requirements for them according to specifications
- Identification and evaluation of new data sources, evaluation of suppliers and estimation of the potential use of the data
- Presenting results including preparing recommendations for management decisions
Mandatory knowledge and experience in linear regression model, distribution in logistic regression model, Classification (decision) tree.
Efforts will focus on the following key areas:
- Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
- Data Mining & Text Mining
- Time Series based forecasting modeling
- Customer Segmentation Cluster & Factor Analysis
- Customer Relationship Management Analytics
- Demand Modeling
- Statistical Scoring models to be used in Risk/Marketing domains
- Market Mix Modeling
- Structural equation modeling for identifying accelerators of customer satisfaction and loyalty
Education qualifications-Bsc, BA, Msc, MA (mandatory)
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