•    Enthusiastic and self-motivated, with ability to lead supply chain analytics 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

Qualifications: 

      

Bachelors/Masters/PhD in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative Candidates should have 7 plus years of hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functionsCandidates 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 researchExperience in Python , SQL , GCP or any other cloud platforms highly desiredLead And Co-Lead high impact business projects with time bound and effective project management leveraging tools like rally, jiraGather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutionsUse statistical methodologies leveraging analytical tools to support different business initiativesContinual enhancement of statistical techniques and their applications in solving business objectivesCompile and analyze the results from modeling output and translate into actionable insights through dashboards or web applicationsAcquire and share deep knowledge of data utilized by the team and its business partnersParticipate in global conference calls and meetings as needed and manage multiple customer interfacesExecute analytics special studies and ad hoc analyses in a quick turn around time Evaluate new tools and technologies to improve analytical processes 

Efforts will focus on the following key areas:

Domain – Supply Chain , Logistics Various classical Statistical techniques such as Regression, Multivariate Analysis etc.Data Mining & Text Mining, NLP, Gen AIOperations ResearchTime Series based forecasting modeling Demand ModelingMarket ResearchExperience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards Programming experience in languages like Python with the understanding of object-oriented programming strongly desired Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management.Soft SkillGood Analysis and problem-solving skills.Ability to get Insights from Data, provide visualization, and story-telling.Flexibility to explore and work with newer technologies and tools.Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios. Excellent collaborative communication and Team skills