Junior Data Analyst

Unify Technologies; Detroit (MI); On-site; USD 68,000 - 95,000; Full time

Job summary

Unify Technologies Ltd in Detroit is seeking a Business Analyst to understand automotive and manufacturing processes, analyze large datasets, and deliver clear recommendations for stakeholders. You will structure ambiguous problems, collaborate across teams, and communicate insights through concise analysis and management presentations.

The role emphasizes Excel modeling, PowerPoint reporting, and the ability to adapt to evolving priorities while clearly conveying complex findings to both

Qualifications

• Bachelor's degree in analytical or engineering disciplines.
• 1–3 years automotive or manufacturing experience.
• Proficient in Excel and PowerPoint; basic Word knowledge.
• Experience with structured and unstructured data analysis.
• Strong analytical and problem-solving abilities.
• Ability to clearly communicate insights to stakeholders.

Responsibilities

• Structure ambiguous problems logically and define analyses needed.
• Analyze large structured and unstructured datasets and explain findings.
• Learn automotive and engineering processes quickly and identify value points.
• Create Excel models and PowerPoint summaries for management.
• Prepare concise 3–5 slide management presentations of findings and recommendations.
• Collaborate with business, engineering, and operations teams to gather requirements and validate findings.
• Adapt to changing requirements with minimal direction.

Skills

Analytical thinking

Problem solving

Communication skills

Structured thinking

Adaptability

Collaboration

Attention to detail

Education

Bachelor's degree

Mechanical engineering degree

MBA

Tools

Excel

PowerPoint

Word

Data visualization tools

BI tools

Job description

We’re looking for a Business Analyst to help us understand complex automotive and manufacturing business processes, analyze large datasets, and turn findings into clear recommendations for stakeholders. In this role, you’ll structure ambiguous problems, work across teams, and communicate insights through concise analysis and management presentations.

Core Responsibilities

• Structure ambiguous business problems logically and define the analysis needed to address them.
• Analyze reasonably large datasets, including structured and unstructured information, and explain what the data shows.
• Learn about automotive and engineering business processes quickly and identify where analysis can add value.
• Build Excel models and PowerPoint presentations that summarize insights for management.
• Prepare concise 3–5 slide management presentations that communicate findings and recommendations.
• Collaborate with business, engineering, and operations teams to gather requirements and validate findings.
• Adapt to changing requirements and priorities with minimal direction.

Required Qualifications

• Bachelor’s degree from a strong academic institution, with a focus on analytical or engineering disciplines.
• 1 to 3 years of automotive experience, or manufacturing experience with exposure to automotive processes.
• Strong proficiency in Excel and PowerPoint, with good working knowledge of Word.
• Good understanding of data analysis and experience working with structured and unstructured data.
• Strong analytical and problem-solving skills, with the ability to understand complex business processes.
• Ability to communicate analysis and business insights clearly to stakeholders.

Preferred Qualifications

• Bachelor's degree in mechanical engineering or a related engineering discipline.
• MBA is an advantage but not mandatory.
• Experience in automotive or manufacturing operations, engineering processes, or supply chain.
• Experience with data visualization or business intelligence tools.

Desired Profile

• Smart, analytical, and curious, with a drive to understand how things work.
• Structured thinker who can break complex problems into clear steps.
• Adaptable and quick to learn, comfortable with evolving requirements and limited initial instructions.
• Good communicator who can explain technical findings to non-technical audiences.
• Collaborative team player who contributes to a culture of knowledge sharing.