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Job Information
Ford Motor Company Data Analytics Engineer in Mexico
Job Description:
The Ford Model e Connected Quality Team is looking for a Data Analytics Engineer to work on a team to manage connected vehicle data projects in support vehicle launch and ongoing quality issues. The engineer will lead and manage adverse quality trend detections, develop Connected Vehicle data solutions for internal customers, and work with the engineering teams on use of data for problem solving. We are looking for people who have a passion for growing their skills, tackling exciting “leading edge” work, and like problem solving potential concerns.
Responsibilities :
Work with PD teams to extract, summarize, and analyze Connected Vehicle data to further understand and problem solve potential issues
Manage “Clockspeed” projects to resolve issues within 30 days from issue detection
Enhance the use of Connected Vehicle data (e.g., battery SOC data, door ajar, warning lights, etc.) through the ideation and development of tools/methods for problem solving
Develop tools and methods to advance process of obtaining insight from large files of Connected Vehicle data
Build strong and trusting relationships with business partners across Ford North American organizations
Basic Qualifications:
Bachelor’s degree in mechanical/Mechatronics Engineering, Electrical Engineering
Strong collaboration and communication skills, ability to engage with upper management, peers, and subordinates
High level of initiative
Proven effective organizational, planning, and time leadership skills
Ability to prioritize in a fast-paced, sophisticated and global environment
Strong organizational skills with the ability to coordinate multiple teams and projects
Ability to consistently perform at a high level of technical competence, showing composure and decisiveness under pressure
Excellent interpersonal, written, and oral communication skills
Preferred Qualifications:
1+ years of experience in Data Analytics
Ability to understand how to ingest large data sets from a variety of sources (SQL, Python, Java, Hadoop, Alteryx, Qlik Sense, etc)
Ability to write SQL queries needed to query & analyze data
Expertise to manipulate data to form unified data sets for analysis
Strong visualizations skills (understanding of appropriate visualization techniques based on the data set)
Knowledge of data management
Requisition ID : 30072