• 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 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 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 **Requisition ID** : 44845