•    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

Bachelors/Masters 

Candidates should have significant hands-on experience with analytics projects Candidates will be expected to successfully prioritize and manage multiple analytical projects Good technical depth with strong analytical/programing skills and ability to apply technical knowledge Experience in Python, SQL, BigQuery, DataForm GCP or any other cloud platforms highly desired Exposure to MLOPs is an added advantage

 

Efforts will focus on the following key areas:

Domain – Supply Chain Analytics   Various classical Statistical techniques such as Regression, Multivariate Analysis etc. Machine Learning, Data & Text Mining, 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 Exposure to MLOPs is a plus Good communication 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

Responsibilities

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