Analytics Role - Operation Research & Optimization - Tableau/Python/SaS

We are hiring for Operation Research & optimization(exp in analytics- statistical modeling, tableau/alteryx/qlikview&python/r/sas) in leading Multinational Company @Chennai location.

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