•    Enthusiastic and self-motivated, with ability to execute 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

• Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira
• Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions
• Use statistical methodologies leveraging 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 through dashboards
• 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 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 Analytics  
• Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
• Data Mining & Text Mining, NLP, Gen AI
• Time Series based forecasting modeling 
• Experience 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
• Exposure to Bigdata based analytical solutions
• Good Soft Skills
• Good Analysis and problem-solving skills.
• Ability to get Insights from Data, provide visualization, and storytelling.
• 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

Educational Qualification:

Bachelors/Masters/PhD in Statistics/Econometrics/or any other quantitative 

• 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
• Experience in Python, SQL, GCP or any other cloud platforms highly desired