.. algorithms. Familiarity with hardware interfaces such as I2C, SPI, UART, etc. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative team environment. Strong communication skills and ability to work with cross-functional teams. interested can share the .. read more
About Delta Tech Hub Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
Key Responsibilities: Master Data Management: Development of SCM data infrastructure including database design, inventory of data sources, oversight of master data tables, data cube maintenance, and integration with various internal / external data sources, including API Development. Spend taxonomy, vendor-parent mapping, contract metadata, spend cube management, exception reports. Prepares data comparisons to establish cost impact of sourcing options as part of the strategic sourcing process and assists with the sourcing process as required. Utilizes industry-leading standards for working with large datasets to extract meaningful business information using statistics, machine learning, and heuristics. Continually seeks out opportunities to learn new and hone existing technical skills (e. g. writing SQL/code, statistics, machine learning, etc.) Transforming data to insights – propose, analyze & share. Develops predictive systems and algorithms for identifying trends and driving business solutions. Sourcing Analytics: Dedicated analytics for each SCM procurement portfolio. Requires alignment with category teams for understanding of unique requirements and nuances of individual sourcing categories. Provides RFP / Bid analysis and total cost of ownership (TCO) analysis and makes procurement recommendations based on analysis. Develop statistical models to drive decisions including what-if scenarios and should costing Portfolio Analytics: Provide analytics and reporting to drive visibility, management, and performance of project lifecycle, spend, and contracts across all SCM portfolios. Project benefit tracking, stakeholder engagement, spend treatment, contract lifecycle dashboards. Works collaboratively with other team members and cross functional teams to drive analytical insights and solve complex business problems.
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS): Bachelor’s degree in Supply Chain Management, Finance, Engineering, Data Science, or other related field 2+ years of experience in data analytics preferably in Supply Chain, Finance, Planning, or other related fields. Demonstrated problem analysis and problem-solving including experience in data analysis, modeling, statistical research, forecasting, data mining, database analysis, or strategic planning. Strong relational database skills (SQL Server, SAS, Alteryx or other) A demonstrated ability to build relationships and think strategically or systematically which includes skills in communication, project management, consensus building, presentation, and leading meetings. A demonstrated ability to lead projects and manage cross departmental projects. Strong ability to design and build BI visualization dashboards using (Tableau or Power BI) Strong communication skills
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS): Master’s degree in Supply Chain Management, Industrial Engineering, Data Science, or MBA. Knowledge of Python in data analytics context. A demonstrated ability to deliver executive presentations. A demonstrated ability to build relationships and think strategically A demonstrated ability to lead cross departmental projects. Knowledge of Supply Chain, Sourcing, Logistics, or a related field
Key Responsibilities: Master Data Management: Development of SCM data infrastructure including database design, inventory of data sources, oversight of master data tables, data cube maintenance, and integration with various internal / external data sources, including API Development. Spend taxonomy, vendor-parent mapping, contract metadata, spend cube management, exception reports. Prepares data comparisons to establish cost impact of sourcing options as part of the strategic sourcing process and assists with the sourcing process as required. Utilizes industry-leading standards for working with large datasets to extract meaningful business information using statistics, machine learning, and heuristics. Continually seeks out opportunities to learn new and hone existing technical skills (e. g. writing SQL/code, statistics, machine learning, etc.) Transforming data to insights – propose, analyze & share. Develops predictive systems and algorithms for identifying trends and driving business solutions. Sourcing Analytics: Dedicated analytics for each SCM procurement portfolio. Requires alignment with category teams for understanding of unique requirements and nuances of individual sourcing categories. Provides RFP / Bid analysis and total cost of ownership (TCO) analysis and makes procurement recommendations based on analysis. Develop statistical models to drive decisions including what-if scenarios and should costing Portfolio Analytics: Provide analytics and reporting to drive visibility, management, and performance of project lifecycle, spend, and contracts across all SCM portfolios. Project benefit tracking, stakeholder engagement, spend treatment, contract lifecycle dashboards. Works collaboratively with other team members and cross functional teams to drive analytical insights and solve complex business problems.
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS): Bachelor’s degree in Supply Chain Management, Finance, Engineering, Data Science, or other related field 2+ years of experience in data analytics preferably in Supply Chain, Finance, Planning, or other related fields. Demonstrated problem analysis and problem-solving including experience in data analysis, modeling, statistical research, forecasting, data mining, database analysis, or strategic planning. Strong relational database skills (SQL Server, SAS, Alteryx or other) A demonstrated ability to build relationships and think strategically or systematically which includes skills in communication, project management, consensus building, presentation, and leading meetings. A demonstrated ability to lead projects and manage cross departmental projects. Strong ability to design and build BI visualization dashboards using (Tableau or Power BI) Strong communication skills
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS): Master’s degree in Supply Chain Management, Industrial Engineering, Data Science, or MBA. Knowledge of Python in data analytics context. A demonstrated ability to deliver executive presentations. A demonstrated ability to build relationships and think strategically A demonstrated ability to lead cross departmental projects. Knowledge of Supply Chain, Sourcing, Logistics, or a related field