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Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

Senior Manager - VOC Advanced Analytics

Data ScienceUpdated on Nov 14
Full-timeFountain Valley, CA, USA$114.8k - $164k /yr

About the Job

Requirements

  • A bachelor's degree in a quantitative field is required.
  • Eight or more years of experience in data analytics, business intelligence, or data science.
  • At least three years of experience leading analytics teams.
  • Advanced analytics experience with Python and SQL.
  • Familiarity with Azure AI and OpenAI or Claude APIs.
  • Visualization experience with Tableau or Power BI.
  • Data engineering and preparation experience with Alteryx or Microsoft Fabric, DataMart design, and ETL frameworks.
  • Knowledge of statistical modeling, forecasting, and machine learning.
  • Experience with text analytics, natural language processing, or generative AI for Voice of the Customer or survey data.
  • Ability to synthesize large, complex datasets into actionable insights.
  • Executive communication and storytelling skills.
  • Ability to operate in a fast-paced, cross-functional environment.
  • Strong organizational, documentation, and process design skills.
  • Must be able to travel domestically.
  • Normal office duties are required.

Responsibilities

  • Define and execute the advanced analytics roadmap across Voice of the Customer, Customer Care, and Product Quality.
  • Identify and prioritize high-impact analytical opportunities aligned with enterprise objectives.
  • Develop and deploy predictive models for warranty forecasting, churn prediction, and case escalation risk.
  • Apply statistical modeling, time-series forecasting, and trend analysis to identify risks, opportunities, and performance drivers.
  • Lead complex analyses to identify root causes of customer dissatisfaction, quality issues, and emerging risks.
  • Integrate Voice of the Customer, operational, and warranty data to generate actionable business insights and support decision-making.
  • Apply natural language processing and generative AI techniques to analyze surveys, call transcripts, cases, and other unstructured Voice of the Customer data.
  • Develop scalable frameworks for sentiment analysis, topic modeling, and automated insight generation.
  • Design and execute experiments, including A/B testing and causal analysis, to evaluate process improvements and customer experience initiatives.
  • Deliver prescriptive recommendations to improve operational performance and customer outcomes.
  • Partner with Data Engineering teams to build scalable datasets and analytics-ready environments, and ensure models are integrated into reporting solutions.
  • Present findings to senior leadership, translate results into business actions, lead data scientists and analysts, establish modeling standards, and deliver predictive insights that influence enterprise decision-making.

Desired Qualifications

  • A master's degree in Data Science, Analytics, Engineering, or a related field is preferred.
  • Experience in automotive, customer care, Voice of the Customer, or product quality analytics is strongly preferred.
  • Experience with survey or Voice of the Customer data, warranty data, or dealer performance analytics is highly desirable.

About the Company

Hyundai Motor Company

Global automaker producing sedans, SUVs, EVs

Hyundai Motor Company is a global car maker that designs, manufactures, and sells a wide range of vehicles, including sedans, SUVs, and a growing number of electric vehicles. Its manufacturing is done in-house across a network of plants around the world, which helps manage production and the supply chain across markets such as North America, India, and Europe. The company plans to expand its EV lineup, aiming to launch 21 new electric models by 2030 to cover affordable to high-performance segments. Hyundai differentiates itself through its integrated global manufacturing approach, control over its supply chain, and a deliberate shift toward electrification under the “Hyundai Way,” backed by a strong U.S. presence since 1986. Its goal is to grow vehicle sales with a balanced mix of traditional and electric vehicles while becoming a leading supplier of EVs across multiple market segments.

Company size
10,001+
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
1967

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