Top Data & Analytics Jobs

The Hardware Life Cycle Management Analyst gathers and analyzes asset data to determine End of Life and Technical debt. They prioritize investment allocation, develop a Technical Debt Roadmap, and report findings to leadership while collaborating with IT teams to enhance data distribution and ensure compliance with policies.

The LCM Reporting Analyst is responsible for implementing and analyzing the Hardware Life Cycle Management program, identifying End of Life and Technical Debt, and prioritizing investment allocation. They will collaborate with IT teams, develop reporting for leadership, manage issues, and enhance partnerships within the organization.

Responsible for partnering across all ADUSA Brands to evaluate appropriate avenue to achieve optimal value (cost + quality) for the category assortment. Handles corporate wide Fresh COGs and savings budget planning and execution. Drives connectivity across Fresh Category for all ADUSA brands and internal & external partners. Conducts negotiations, RFPs, and is accountable for final contract documentation review/approval.

The Analyst III Sourcing Fresh Ops will collaborate across Ahold Delhaize Brands to optimize value through effective sourcing strategies, manage the Fresh COGs budget, negotiate supplier costs, and educate teams on market influences. This role includes overseeing RFPs and ensuring contracts are prepared and reviewed appropriately, utilizing advanced analytical and communication skills.

The Manager of Data Integration and Modernization will lead multiple teams to develop scalable data products and platforms. Responsibilities include driving a cohesive data strategy, collaborating with enterprise partners, modernizing tech stacks, and managing data engineering practices to provide efficient data solutions and insights.

The Manager, Data Integration and Modernization will lead teams to deliver highly performant and scalable data products and platforms, drive data engineering best practices, and collaborate with internal teams to modernize tech stacks and data platforms.

Build teams to deliver highly performant and scalable data products and platforms. Drive data engineering best practices, lead multiple high-performing teams, and modernize tech stacks. Collaborate with internal teams to identify automation and machine learning opportunities.