Data & Analytics Specialist

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 Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America’s Mobility and Remarketing business. This role leverages large, diverse datasets that inform business decisions and improve operational performance. The Specialist partners closely with Kia North America’s Big Data team and other affiliate data analytics teams to develop models to support the department’s analytical needs.

This role is responsible for developing and maintaining analytical datasets, dashboards, and reporting tools, as well as performing statistical and financial analysis to support business opportunities. A strong foundation in data analytics and statistics are necessary to ask the right questions, interpret complex data, and translate it into meaningful insights. The position focuses on addressing ambiguous business questions, developing predictive and analytical models, and clearly communicating findings to stakeholders.

Beyond standard reporting, the Specialist is expected to frame problems, design analyses, and provide actionable recommendations that influence business decisions.

Priority One – 45%

Business Problem Framing, Insights, and Analytics:

• Understand business processes and decision frameworks and translate them into data-driven KPIs.
• Analyze ambiguous Fleet & Mobility business challenges (pricing, volume, channel optimization), define success metrics, and deliver decision-ready recommendations.
• Identify key drivers and trends tied to valuation and channel performance.
• Translate complex analysis into business-relevant insights that non-technical stakeholders can act on.
• Analyze large amounts of data to discover trends and patterns.
• Analytics will be primarily focused on remarketing, Certified Pre-Owned vehicles (CPO), branded products, fleet, and other retail and wholesale sales channels.

Priority Two – 30%

Data, Reporting, and Dashboard Management

• Assess the accuracy of new data sources
• Build prediction and classification models
• Coordinate with Kia North America Big Data team for data and modeling development
• Curate and preprocess structured and unstructured internal/external data.
• Maintain/monitor daily/weekly data feeds, published reporting, and dashboards supporting auction and other operations.
• Developing/maintaining domain analytical models and decision tools that drive better business outcomes.
• Develop and distribute reporting and databases on key aspects of the Fleet & Mobility business.

Priority Three – 25%

Partner Management and Tool Development:

• Leverage operating systems and third-party software, to assist in the management of digital sales platforms, administrative platforms, dashboards, and other tools to support the business.
• Coordinate with third party data partners and Kia North America for data integration into Big Data model.
• Leverage the enterprise big data platform and work closely with the Big Data Analysis team;
  Big Data owns enterprise data engineering, governed datasets, and shared platform capabilities (clusters/pipelines/tooling).
• Collaborate with Big Data to deliver model outputs and analytical datasets into downstream tools (dashboards/apps/partner systems) and…