Job Description & Qualifications:
The Data Engineer works with internal and external data applications to enable analytical skill teams (Purchasing / Supply Chain / Manufacturing) to answer key questions pertaining to the business. The role will be responsible for discovering, curating, and managing data sources within the context of GDI&A. This includes:
Creating data standards
Making data security recommendations
Assessing data quality
Performing required transformations
Collaborating with IT teams to support data collection, integration, and retention requirements
Acting as the data steward to ensure that data utilized by GDI&A adheres to compliance, access management, and control policies
Providing on-going tracking and monitoring of decision systems and statistical models
Solve client data and analytics problems while communicating results and methodologies.
Performing experimental design approaches to validating findings or testing hypothesis which provide business value
Working cross-functionally with the business and analytical skill teams to manage data and projects
Creating data products that combine various internal data sources enabling more efficient consumption of data.
3+ years of specific skill team (Purchasing, Supply Chain, Manufacturing - Ford Specific) or Data Analytics / Data Operations Experience.
Bachelor's Degree in Data Analytics, Engineering, Purchasing, Supply Chain, or related field.
Master's Degree in Data Analytics, Engineering, Purchasing, Supply Chain, or related field.
Strong oral and written communication
Professional demeanor and ability to persevere in the face of adversity
Experience with MS Office Products (Excel, Word, PowerPoint, etc.)
Ability to manage and perform large scale data manipulations
Critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems
Ability to handle multiple projects within a given timeframe (time management skills)
Experience with Hadoop, Alteryx
Experience with Qlikview, and Informatica
Experience in R, Python, SQL
Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we're Built Ford Tough. We're one team striving to make people's lives better while creating value, delivering excellence and ultimately going for the win.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Auto req ID:
Ford Motor Company