Data Analytics Manager

General Summary

The Data Analytics Manager is responsible for defining, leading, and executing the end-to-end data strategy that enables the Kia North America Product Quality team to identify, prioritize, and address potential emerging vehicle quality concerns. The role manages the frameworks, systems, and analytical methodologies used to integrate traditional and non-traditional data sources, develop advanced statistical and AI models, and translate complex market indicators into actionable quality insights.

The Manager will work closely with their peers to lead Product Quality data analytics. This includes overseeing model development, data source management, AI implementation and validation, system management and enhancements, and alignment with engineering, IT, and external third-party partners. The role will utilize a strong programming background and critical thinking to troubleshoot issues, find solutions, and gain consensus. 

Essential Duties and Responsibilities

ESSENTIAL DUTIES

Priority One – 40%

• Define and manage Product Quality’s data and analytics strategy, including data sources, modeling frameworks, AI integration, and issue-ranking methodologies.

Priority Two – 30%

• Lead development of prediction and classification models. Build visualizations and dashboards to support Product Quality team operations.

Priority Three – 20%

• Manage analytics platforms, dashboards, and reporting strategies to support operational decision making.

Priority Four – 10%

• Oversee Product Quality team’s IT projects through collaborations with IT affiliates and/or outside vendors.

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.

DAY-TO-DAY DUTIES

• Design and maintain product quality processes and tools:
  • Analyze large amounts of data to discover trends of patterns. This can include, but is not limited to, data from Kia’s dealership network obtained through warranty and vehicle diagnostics.
  • Build prediction and classification models.
  • Test and continuously improve the accuracy of models.
  • Create methodology to identify and rank potential quality issues to support Service Engineering team.
  • Investigate new technologies to investigate and quantify non-traditional product quality feedback.
• Build visualizations and dashboards:
  • Work within Product Quality Data Analytics team to develop visualizations and dashboards to assist Service Engineering team in investigation of potential quality concerns.
• Manage Product Quality IT projects:
  • Collaborate with IT affiliates and/or outside vendors to develop, maintain, and improve product quality systems.
  • Ensure that Product Quality systems are aligned with other corporate efforts.
• Support Data Analysis:
  • Provide analysis in monitoring field data, conducting investigations, and making informed business decisions.

Qualifications/Education

• Bachelor’s degree or equivalent experience in Analytics, Data Science, Engineering, Statistics, Computer Science, or another quantitative field required.
• Masters’s degree preferred. 

Job Requirement

• Minimum of 7 years of data analytics experience required specifically modeling/reliability analysis.
• Demonstrated experience leading analytics strategy, projects, or teams required.
• Prior projects related to reliability and/or quality required.
• Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis.
• Experience developing predictive models on time-series data is strongly desired.
• Experience supporting engineering, quality, or statistical analysis (Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, Weibull distribution, etc.).
• Experience working with and creating relational databases, and highly integrated systems.
• Experience building visualizations and dashboards for stakeholders (e.g., using SAS Visual Analytics and Power BI).
• Experience with HTML and JavaScript is a plus.
• Experience utilizing machine learning and AI is a plus.

Other Requirements

• Physical Requirements: frequent sitting, vision, hearing, typing, and talking.
• Up to 5% of domestic and/or international travel.
• Job demands may include reading (documents), detailed work, confidentiality, problem solving, language, reasoning skills, oral communication, written communication, customer contact, ability to effectively present information in one-on-one and small group situations to customers, vendors, and other employees, multiple concurrent tasks, ability to work with frequent interruptions, etc.
• Must be able to maintain focus and attention to detail in a fast-paced environment.
• Ability to analyze information and make sound decisions under time constraints.
• Problem-solving skills and the ability to work independently
• Must be able to respond to challenges with poise and agility.
• Ability to handle competing priorities effectively and with composure.
• Other duties as assigned.

Specialized Skills and Knowledge Required

• Strong technical writing capabilities and oral communication skills
• Experience querying databases using statistical computer languages (SAS, Python, R, SQL, etc.)
• Experience building visualizations and dashboards (SAS Visual Analytics, Power BI, etc.)
• Proficient knowledge of PC and software (Word, Excel, PowerPoint, Outlook, etc.)
• Proven ability to execute projects with self-starting attitude, responsibility, and accountability
• Strong programming background. Proficiency with relational databases and integrated systems.