Data Automation Engineer

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?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Data Insight & Analytics within the Labor Center of Excellence makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. 

In this position...

• The successful candidate will be a data explorer who embraces streamlining data processing through automation and programming applications, a problem solver who is energized by difficult business problems, a user who is able to provide visual data summaries, a proven communicator who effectively interfaces between technical and business teams, and a reliable team player.
• The successful candidate will be part of and report directly within the Labor Center of Excellence. The successful candidate will bring data to life and work collaboratively to design, develop, and deploy, analytical solutions that harness internal and external data, and leverage visualizations through automation methods.
• You will collaborate with partners primarily in manufacturing but as needed also in other groups to define problems, identify data, develop data pipelines, develop metrics, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford and the people who drive our manufacturing.

What you'll do...

• Acquire deep understanding of the business problems and translate them into appropriate mathematical representations
• Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, and Alteryx
• Own, manage and maintain Attendance tools and programs for all of US Manufacturing locations
• Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
• Design intuitive visual interfaces for users to interact with the data using dashboard and programming software (Power Automate and others)
• Create workflows within Power Automate
• Develop and deliver analytic products using skills such as predictive modeling, statistical analysis, machine learning, algorithm design, and interface development
• Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
• Interact and work cross-functionally with a wide variety of teams
• Develop trust with stakeholders and peers by delivering results on time
• Ensure overall quality of the data & solutions throughout the analytic development process
• Work with business teams on change management
• Provide training and maintenance of implemented tools to business partners
• Collect feedback from business users and continuously improve analytic products

You'll have...

• Bachelors Degree in a relevant discipline
• 2+ years experience with python, Altyerx or R, capable at one or more of the following visualization/dashboard tools: Angular, React, Tableau, looker, Qliksense, Dash, (MySQL and PHP)
• 2+ years experience using Power BI and Power Automate
• 2+ years experience of using SQL, Python, Alteryx, GCP native query, and/or R for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges
• 2+ year of work experience with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains.
• 1+ year of work experience with Large Language Model and Natural language processing for analyzing unstructured textual data, which can be difficult for traditional data analytics techniques to process and extract valuable insights from customer feedback, social media conversations, and other textual data sources.
• Proven ability to automate and/or streamline data from multiple sources
• Strong oral, written and interpersonal communication skills
• Ability to effectively advocate technical solutions to peer, management and business audiences
• Well-organized, self-starter, independent and ready to work with minimal supervision
• A respectful and committed teammate, willing to excel and work with talented peo