Sr Data Analytics Engineer

Role Overview: As a data analytics expert in Supply Chain Management at our company, you will play a crucial role in developing the SCM data infrastructure and providing analytical insights to drive visibility and performance across TechOps SCM portfolios. Your responsibilities will include master data management, supplier performance analytics, unit testing, transforming data into insights, and preparing data comparisons. You will collaborate with talented analysts and cross-functional teams to develop predictive systems, algorithms, and analytical processes to solve real-world business problems. Key Responsibilities: - Develop Supply Chain Management data infrastructure, including database design, data maintenance, and integration with internal/external data sources - Provide analytics and reporting for project lifecycle, spend, and contracts across TechOps SCM portfolios - Take ownership of unit testing activities for self-created features, focusing on code and data results validation - Propose, analyze, and share insights by developing predictive systems and algorithms - Collaborate with cross-functional teams to apply analytical processes on diverse datasets - Utilize industry-leading standards for working with large datasets using statistics, machine learning, and heuristics - Continually seek opportunities to learn and improve technical skills in SQL, coding, statistics, and machine learning - Prepare data comparisons to establish cost impact of sourcing options by supplier Qualification Required: - Bachelor's Degree in Supply Chain Management, Finance, Engineering, MIS, or related field; MS degree in Industrial Engineering or MBA is a plus - 5-8 years of experience in data analytics, preferably in Supply Chain settings, Finance, Planning, or related fields - Demonstrated problem analysis and problem-solving skills, including experience in data analysis, modeling, statistical research, forecasting, data mining, database analysis, or strategic planning - Extensive experience with Palantir Foundry and other platforms like Python, SQL, Gitlab, Tableau, Alteryx, databases (Teradata, SAP Hana), and AWS Console (Glue, S3) - Strong ability to design and build BI visualization dashboards - Strong communication skills (Note: No additional details about the company were provided in the job description) Role Overview: As a data analytics expert in Supply Chain Management at our company, you will play a crucial role in developing the SCM data infrastructure and providing analytical insights to drive visibility and performance across TechOps SCM portfolios. Your responsibilities will include master data management, supplier performance analytics, unit testing, transforming data into insights, and preparing data comparisons. You will collaborate with talented analysts and cross-functional teams to develop predictive systems, algorithms, and analytical processes to solve real-world business problems. Key Responsibilities: - Develop Supply Chain Management data infrastructure, including database design, data maintenance, and integration with internal/external data sources - Provide analytics and reporting for project lifecycle, spend, and contracts across TechOps SCM portfolios - Take ownership of unit testing activities for self-created features, focusing on code and data results validation - Propose, analyze, and share insights by developing predictive systems and algorithms - Collaborate with cross-functional teams to apply analytical processes on diverse datasets - Utilize industry-leading standards for working with large datasets using statistics, machine learning, and heuristics - Continually seek opportunities to learn and improve technical skills in SQL, coding, statistics, and machine learning - Prepare data comparisons to establish cost impact of sourcing options by supplier Qualification Required: - Bachelor's Degree in Supply Chain Management, Finance, Engineering, MIS, or related field; MS degree in Industrial Engineering or MBA is a plus - 5-8 years of experience in data analytics, preferably in Supply Chain settings, Finance, Planning, or related fields - Demonstrated problem analysis and problem-solving skills, including experience in data analysis, modeling, statistical research, forecasting, data mining, database analysis, or strategic planning - Extensive experience with Palantir Foundry and other platforms like Python, SQL, Gitlab, Tableau, Alteryx, databases (Teradata, SAP Hana), and AWS Console (Glue, S3) - Strong ability to design and build BI visualization dashboards - Strong communication skills (Note: No additional details about the company were provided in the job description)