About The Position
Work cross-functionally and closely with integrated teams in Manufacturing, Product Development, Purchasing, Marketing, Sales and Service Lead/Support functional teams to collect, clean, and process large datasets from diverse sources, ensuring data accuracy and integrity. This includes developing and maintaining efficient and scalable data pipelines and analytical frameworks. Lead exploratory data analysis to identify trends, patterns, and anomalies. This assists the functional teams to uncover actionable insights by analyzing large datasets to pinpoint opportunities for improvement in efficiency and productivity Develop and/or support actions to maintain dynamic reports, interactive dashboards, and visualizations to effectively convey complex data to both technical and non-technical audiences. Good interpersonal skills to communicate efficiently with cross functional team, Area Managers or leadership teams into clear, concise, and actionable recommendations. Ability to support ad-hoc data analysis requests and special projects, while contributing to the continuous improvement of data analysis processes and tools. This also includes documenting data sources, methodologies, and analysis results thoroughly. Ability to interface with Plant Hourly (Unionized workforce), Salaried Personnel, Plant Management, Staff Operations, and the Engineering Community Ability to work effectively both independently and as part of a team with limited oversight. A collaborative mindset is highly valued. Established and active employee resource groups
Requirements
- Bachelor's degree (or equivalent) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related engineering discipline.
- Min of 1-3 years of experience.
- Strong organizational and administrative skills
- Ability to multi-task and strong analytical and problem-solving skills with keen attention to detail
- Proficiency in Microsoft Office such as Excel (advanced functions, pivot tables, VLOOKUP), Word and Outlook
- Basic knowledge of SQL for data extraction and manipulation.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Qlik Sense, Google Data Studio).
- Successful candidates should be able to demonstrate Ford+ (leadership) behaviors combined with outstanding interpersonal, teambuilding and communication skills
Nice To Haves
- Experience using GPIRS (Prototype System) tool set.
- Understanding of data warehousing principles.
- Experience with programming languages and platforms used for data analysis
Responsibilities
- Collect, clean, and process large datasets from diverse sources, ensuring data accuracy and integrity.
- Develop and maintain efficient and scalable data pipelines and analytical frameworks.
- Lead exploratory data analysis to identify trends, patterns, and anomalies.
- Analyze large datasets to pinpoint opportunities for improvement in efficiency and productivity
- Develop and/or support actions to maintain dynamic reports, interactive dashboards, and visualizations to effectively convey complex data to both technical and non-technical audiences.
- Communicate efficiently with cross functional team, Area Managers or leadership teams into clear, concise, and actionable recommendations.
- Support ad-hoc data analysis requests and special projects
- Contribute to the continuous improvement of data analysis processes and tools.
- Document data sources, methodologies, and analysis results thoroughly.
- Interface with Plant Hourly (Unionized workforce), Salaried Personnel, Plant Management, Staff Operations, and the Engineering Community
- Work effectively both independently and as part of a team with limited oversight.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
