Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see 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.

What you’ll be able to do:

The Data Integration Engineer role resides within the Ford’s Enterprise Connectivity organization. In this role, you will support the data analytic requirements of the product and feature development teams who are using analytics to achieve business outcomes including insights to accelerate our connected customer and connected vehicle initiatives.

You will be responsible for providing the data and analytics support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products.
Drive Ford’s data strategy and align it with a continuously changing business landscape
Work with partner organizations to develop and manage metrics for Enterprise Connectivity.
Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
Perform data mapping, data lineage activities and document information flows
Provide analyses of connected vehicle data to support decisions on new product developments and production vehicle improvements
Perform descriptive/exploratory/trend data analysis to derive KPI insights using tools like Hive, Apache Pig, Hadoop, HDFS, MapReduce, Spark, PySpark, SQL and Alteryx.
Use connected data trends and special studies to understand customer and vehicle behavior.
Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues
Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality and standards
Build scalable and robust data workflows and visualization dashboards using data from various databases, application and files.

The minimum requirements we seek:

Bachelor’s degree in Computer Engineering, Computer Science, Management Information Systems or Data Analytics or a related field of study
1+ years of experience delivering products or managing quality in a technical function
1+ years of experience in Data Analytics or Data Engineering to create data products/ visualizations by writing codes/queries/scripts
1+ years of experience transforming, visualizing data and scheduling workflows with Hive, PySpark, Apache Pig, Hadoop, SQL, Tableau/QlikView, Oozie and ETL tools (e.g. Alteryx) 

Our preferred requirements:

Master’s degree in Computer Engineering, Computer Science, Management Information Systems or Data Analytics or a related field of study
Experience with vehicle connectivity and vehicle launches.
Prior experience within PD, Powertrain, Chassis and/or Mobility Groups
Experience working with big data tools to visualize data level KPIs via dashboards
Experience leading the delivery of projects using Hadoop and Big Data technology like HDFS, Hive, Python, PySpark, Scala, Oozie, Tableau, QlikView, Alteryx, Informatica etc.
Experience building web based analytical dashboards
Experience working in a complex business environment, including at least 3 years in a single function, with deep understanding of the information constructs of that business.
Demonstrated expertise in conceptual thinking of how to apply information solutions to a business challenge. Demonstrated problem solving abilities.
Proven analytics capability to robustly examine large data sets and highlight patterns, anomalies, relationships and trends.
Excellent data and statistical analysis skills in Excel.
Ability to manage deliverables according to a robust project plan.
Self-starter, demonstrating the ability to work independently but remain a team player
An interest in automotive electronics and how customers interact with our products.

What you’ll receive in return:

If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Visa sponsorship may be available for this position.