About this role
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 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 Experience using GPIRS (Prototype System) tool set. Understanding of data warehousing principles. Experience with programming languages and platforms used for data analysis
Other facts
About Ford
We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us.
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
Privacy Policy: https://www.ford.com/help/privacy/
What you'll do
- The Data Analyst will work cross-functionally with various teams to collect, clean, and process large datasets, ensuring data accuracy and integrity. They will also develop and maintain reports and visualizations to convey complex data insights to both technical and non-technical audiences.
Ready to join Ford?
Take the next step in your career journey