McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world. At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements. Department OverviewMcDonald’s is seeking a skilled Data Platform Engineer with expertise in Business Intelligence (BI) tools including Tableau, Microstrategy, Alteryx, or Power BI. The preferred candidate will demonstrate capability in deploying and administering BI solutions on cloud platforms such as GCP or AWS as part of the data platform engineering team. Responsibilities include BI tool administration, conducting solution assessments, researching and recommending sophisticated visualization and BI technologies, and presenting effectively cross-team with data architects, BI developers, data engineers, and product owners. Dedication to ongoing BI enhancements will play a central role in advancing our data-driven projects.Responsibilities and Accountabilities Play a pivotal role in designing, developing, and maintaining business intelligence capabilities using Tableau, Microstrategy, Alteryx, or PowerBI. Review dashboard and report design, evaluate and recommend performance optimizations, and provide mentorship to developers based on standards and procedures. Share a point of view and thought leadership for new BI tool evaluations and enabling new BI capabilities. Deploy and handle BI data source connectors, data semantic layer, and business metrics. Manage BI role-based data access security and SSO BI tool integration. Guide BI software upgrades, collaborate on testing new functionalities, and maintain enterprise security standards. Migrate content between environments. Coordinate both Production and non-Production environments across verticals areas, including sizing and capacity prioritizing when required.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees