Trainee MSS
Ford Motor Company
As a NAEM Market Representation Ford Champ, you will be responsible of:
+ Creating and adapting training materials for NAEM Dealers (based on the training matrix and materials from USA) for the Ford University platform.
+ Generating weekly OneCX reports for NAEM Dealers.
What will you do:
+ Project Ford University Content Management & OneCX Dealers Reports:
+ Draft and edit content such as articles, videos, podcasts, technical documents, e-books, infographics, and other resources to inform and train the staff of NAEM Dealers.
+ Research assigned topics to create training content for Dealer staff, which may include background research on products, experience, and target demographics.
+ Integrate photographs, graphics, or videos to accompany the content.
+ Optimize content for keywords that perform well in major search results.
+ Assist in updating and maintaining the Ford University site platform.
+ Proofread all content to comply with internal style guides, brand voice, and the NAEM region.
+ Work with large amounts of data and extract useful business insights.
+ Create specialized weekly reports for distribution to Dealers from the OneCX site.
+ Provide support to Dealers in Ford University, including issues related to access, unlocking courses, and other related topics.
What will you need:
+ Active student from the last 4 semesters of Marketing or Industrial Engineer.
+ Proficient in the English language (Oral, reading, writing and listening).
+ Excellent writing, design, and spelling skills.
+ Editing and proofreading skills to develop successful content that is easy to read, accurate, and free of typographical and spelling errors.
+ Research skills to ensure the information included in the text is accurate and up to date.
+ Strong time management and communication skills.
+ Knowledge of mathematics, statistics, and computer science.
+ Ability to program in languages such as Alteryx.
+ Proficiency in relational and non-relational databases.
+ Ability to manage, interpret, and effectively represent data through visual presentations, graphics, and other visual tools, such as maps, to simplify information analysis.
+ Detect, filter, and eliminate errors in a database.
+ Knowledge of statistics to identify analytical and statistical biases, as well as to identify algorithmic errors, base logic issues, and to determine and reduce margins of error.
+ Familiarity with machine learning and artificial intelligence.
+ Ability to manage projects to enhance efficiency and productivity.
**Requisition ID** : 40354
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