GDIA Mission and Scope-
The Global Data Insights and Analytics (GDI&A) department - looking for qualified people who can develop scalable solutions to complex real-world problems using Statistics, Econometrics, Machine Learning, Big Data, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
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)
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
Key behaviors:
- Enthusiastic and self-motivated, with ability to lead projects proactively
- Meticulous attention to detail, with an overall passion for continuous improvement
- Innovative and creative, with a logical and methodical approach to problem solving
- Credible and articulate, with excellent communication, presentation and interpersonal skills
- Ability to multi-task and manage competing priorities
Requirements
- Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
- Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
- Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research
- R / SAS / Python or other quantitative analysis programming skills
Educational Qualification:
Advanced degree (Masters or PhD) in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis
Mithalesh kumar
M: 9916135516
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