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Parts Business Intelligence Specialist
Parts Business Intelligence SpecialistKia America • Irvine, CA, United States
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Parts Business Intelligence Specialist

Parts Business Intelligence Specialist

Kia America • Irvine, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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

General Summary

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 AutoEver) 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.

Essential Duties and Responsibilities

  • 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, PartsEye Performance - Dealer Inventory readiness).
  • Priority Two - 25%

Systems Strategy & Data Governance
  • 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 opportunities, optimize pricing strategies to improve parts sales & profitability.
Qualifications/Education
  • Bachelor's Degree in a related business field or equivalent combination of education and work experience is required.
Job Requirement
  • 2-4 years of service parts or similar business experiences preferred.
  • 3+ years in leadership capacity or as a Senior individual contributor
  • 5-7 years of data analysis and information systems experience is required.
  • Hands-on experience in a number of business disciplines such as business operations, project management and information technology with proven ability and record of success.
  • Demonstrated experience in business improvements through data mastery.
  • Ability to successfully manage multiple projects simultaneously.
  • Understanding of the automotive parts supply chain and industry knowledge is preferred.
Specialized Skills and Knowledge Required
  • Skilled in leading cross-functional teams and managing complex projects from planning through execution, ensuring alignment with strategic goals and timely delivery.
  • Strong analytical and data modeling skills and ability to apply AI/ML techniques to enhance data analysis and predictive forecasting.
  • Proven ability to lead the development of advanced dashboards, reporting tools, and visualizations that drive data-informed decision-making.
  • Experience with enterprise BI platforms (e.g., Power BI, SAS, Tableau), enabling integration of disparate data sources and scalable analytics solutions. Advanced SQL is preferred.
  • Strong written and verbal communication skills, with the ability to translate complex data into clear, compelling narratives tailored to executive and operational audiences.
  • Solid understanding of database systems and data warehousing concepts, familiarity with accessing multiple and disparate data sources to feed analysis.
  • A general understanding of data security and privacy.
  • Ability to perform in a fast-paced environment and prioritize and resolve multiple tasks.
  • Being flexible and adaptable to changing business needs and technological advancements.
  • Independent decision-making to determine final resolution approach.
  • Ability to coordinate with other groups to implement the necessary solutions.
Competencies
  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together


Pay Range

$82,382.00 ~$110,272.00

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.

Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
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