Analytics Modeler - Statistics/Econometrics - Global Data Insights & Analytics

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