Ford Motor Company-posted about 2 months ago
Full-time • Entry Level
Dearborn, MI
5,001-10,000 employees
Transportation Equipment Manufacturing

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Subscription Services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. The Subscription Data Engineer is responsible for designing, building and maintaining robust data and analytics solutions through a blend of business acumen, data and analytics proficiency and technology. Subscription services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you.

  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
  • Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations
  • Collaborate with stakeholders to understand current and future data requirements
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting
  • Use advanced visualization and business intelligence tools
  • Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
  • Support an environment that enables continuous improvement and contribute to establishing a learning organization
  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
  • Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations
  • Collaborate with stakeholders to understand current and future data requirements
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting
  • Use advanced visualization and business intelligence tools
  • Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
  • Support an environment that enables continuous improvement and contribute to establishing a learning organization
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