Kraft Heinz

38,000 Total Employees
Year Founded: 2015
Jobs at Kraft Heinz

Search the 7 jobs at Kraft Heinz

Recently posted jobs

Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
The Product Owner - Global GBS - Analytics COE is responsible for evaluating user requests, managing backlogs, gathering requirements, creating user stories, and ensuring alignment with business objectives. They utilize data-driven insights, prioritize features, and collaborate with stakeholders to drive innovation and continuous improvement in Tableau tool development.
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Identifying data inconsistencies, implementing data quality checks and processes, creating and maintaining data dictionaries, collaborating with stakeholders to resolve issues.
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Implement data cleansing and analysis, perform variance analysis, facilitate meetings, follow-up with stakeholders, participate in developing best practices for data analysis and reporting.
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Design and deliver analytical solutions, gather user requirements, manage analytical tools, coach junior analysts, build workflows for data preparation, automate tasks, build relationships with stakeholders, gather feedback, work in Agile Sprints, test products before go-live, raise issues and risks
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Design, deliver, and maintain data solutions for analytical development, gather data requirements, develop modern data architecture, extend DevOps capabilities, ensure data quality, coach junior engineers, enforce best practices, and lead project delivery. Bachelor's Degree in related field and 5+ years of experience required. Location: Ahmedabad
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Develop automation scripts using RPA tools like UiPath, Blue Prism, or Automation Anywhere. Integrate solutions with existing systems, conduct testing, maintain documentation, and collaborate with cross-functional teams for process optimization. Provide training and support to end-users and team members.
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
Overseeing the development and deployment of RPA solutions, setting up infrastructure, collaborating with stakeholders, ensuring coding standards, troubleshooting and debugging, code review, and monitoring the deployed solution.