Junior Data Analyst
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Role details
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Job description
Ford is seeking a highly motivated Junior Data Analyst / Business Analyst to support data-driven decision-making across automotive and manufacturing operations. The ideal candidate will have strong analytical skills, experience working with structured and unstructured datasets, and the ability to translate complex business challenges into actionable insights. This role requires close collaboration with business, engineering, and operations teams to identify opportunities, improve processes, and support strategic initiatives., * Analyze large structured and unstructured datasets to identify trends, patterns, and business opportunities.
- Structure complex and ambiguous business problems into clear analytical frameworks.
- Develop Excel-based models to support business analysis and decision-making.
- Create concise PowerPoint presentations (3-5 slides) to communicate key findings and recommendations to leadership.
- Quickly understand automotive and manufacturing business processes and identify areas for operational improvement.
- Gather business requirements, validate findings, and collaborate with cross-functional stakeholders.
- Present insights and recommendations clearly to both technical and non-technical audiences.
- Support management with data analysis, reporting, and business process evaluations.
- Adapt to changing business priorities and work effectively with minimal supervision.
Requirements
- Bachelor’s degree in Engineering, Business Analytics, Data Analytics, Statistics, Mathematics, or a related analytical discipline.
- 1-3 years of experience in the automotive industry or manufacturing environment.
- Strong proficiency in Microsoft Excel, PowerPoint, and Word.
- Experience analyzing structured and unstructured data.
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong verbal and written communication skills.
- Ability to understand and document business processes and workflows., * Bachelor’s degree in Mechanical Engineering or related Engineering discipline.
- MBA is a plus but not required.
- Experience supporting automotive manufacturing, engineering, supply chain, or operations teams.
- Exposure to Business Intelligence (BI) or Data Visualization tools such as Power BI, Tableau, or similar platforms.
- Experience preparing executive-level presentations and business recommendations., * Curious, analytical, and eager to learn.
- Strong structured-thinking and problem-solving capabilities.
- Quick learner with the ability to work in dynamic environments.
- Effective communicator capable of simplifying complex concepts.
- Team-oriented professional with a collaborative mindset and strong stakeholder management skills.
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Prepare application
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