Data Analyst

at  Ford Motor Company

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?
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

• Work closely with data scientists, business partners and other team members to help Ford Customer Service and Ford/Lincoln dealers drive profitable growth and to maintain and increase customer satisfaction.
• Acquire deep understanding of Ford Credit and Ford data and become the SME to help analytics & product teams ID the right data to answer the right business questions.
• Lead the data investigation and discovery work with analytics & product teams to collect details and requirements for the data product development.
• Build, maintain and monitor data product pipelines; fix recurring issues and deeper data problems.
• Support the data requirements of the different analytics products - evaluate, explore and select the right data.
• Provide visibility to Data Quality issues and work with the business owners to fix the issues - implement an Enterprise Data Governance model and actively promote the concept of data standardization, integration, fusion and quality
• Work with technology team to model data, create data flow diagrams, load, and transform structured and unstructured data.
• Build the Metadata model & Business Glossary by gathering information from multiple resources, business users, existing data sources, databases and other relevant documents and systems.
• Actively engaging partners during the development cycle to gather feedback to enhance and integrate the product into existing systems or processes.
• Scaling the product to offer solutions with a reasonable response time and to apply for various business cases.