Parts Business Intelligence Specialist

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At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status

Exempt

The Business Intelligence Specialist Parts plays a critical role in driving data-informed decision-making and operational excellence across the Parts and Service Division. This role serves as a strategic decision maker, collaborating closely with internal teams, and MPA (Mobis Parts America) and HAEA (Hyundai Auto Ever) leadership.

This position is responsible for leading the development and execution of business initiatives by transforming complex data into actionable insights that improve operational efficiency, support financial objectives, and enhance dealer and customer satisfaction.

This role will be using data intelligence and resulting insights to improve parts and accessories pricing, parts policies, MPA operations, core return programs, dealer and field support, sales trends, and sales support programs (like the collision conquest programs) to maximize KUS Parts business performance.

This role is to be a subject matter expert in business intelligence and data through advanced analytics performance monitoring, and cross-functional collaboration. This specialist identifies growth opportunities, ensures system integrity, and delivers scalable solutions that align with divisional goals.

• Priority One – 30%

Stakeholder Support & Business Enablement

• Act as a liaison and key decision maker to internal and external stakeholders (MPA and HAEA), providing actionable insights and solutions that support Parts business operations.
• Collaborate with IT and Service Division stakeholders to define and implement a unified data strategy and architecture that ensures consistency, accuracy, and scalability for the launch of the Global ERP.
• Direct system and enhancement decisions using business impact analysis and data integrity metrics (e.g., Parts Loyalty Dashboard, Monthly MPA PDC Operations and Supply Performance KPIs, Parts Eye Performance – Dealer Inventory readiness).
• Priority Two – 25%
• Own the strategic roadmap and execution of Parts systems initiatives which include Global ERP and improvements to the parts pricing system, ensuring alignment with business objectives and long-term digital transformation goals.
• Priority Three – 25%

Strategic Process Leadership

• Lead strategic oversight and continuous optimization of key Parts business processes to identify improvement opportunities, set performance benchmarks, and drive cross-functional alignment.
• Ensure initiatives support divisional goals by implementing scalable solutions that enhance operational efficiency and customer satisfaction across the Parts and Service Division.
• Priority Four – 10%

Performance Monitoring, Forecasting & Competitive Analysis

• Develop and monitor KPIs to ensure initiatives are aligned with divisional and organizational goals and deliver measurable impact on Service operational efficiency and customer satisfaction.
• Manage the intake and fulfillment of ad-hoc data requests, ensuring outputs are accurate, timely, and aligned with business priorities. Use data visualization and storytelling to communicate complex findings effectively.
• Use historical trends, predictive models, and competitive benchmarking to identify growth…