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Sr. Analytics Engineer

Date: Mar 26, 2021

Location: Irvine, California, US

Company: KIA Motors America

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 time off starting at 14 days per year. 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.




The Product Quality Analytics Engineer is the Product Quality’s Data Scientist responsible for establishing processes for collecting and cleaning quality data sources, utilizing his/her automotive engineering experience and deep statistical knowledge, such as regression modeling, predictive forecasting, hypothesis testing to extract trends,  evaluate outcomes and glean meaning from data, that drives product quality improvements. These functions enable the product quality service engineers and management to understand and measure how our products are performing in the market, where we need to focus our efforts for further improvements to meet our corporate objectives for quality and how Product Quality department is performing relative to the targets set.


This position will require a skill set that is exceptionally good at both developing computer generated reports and creative communication to assist in growing these new programs. The individual should have solid analytics skills, an understanding of the automotive business in general, and a desire to use analytic skills for product growth.

Major Responsibilities

Priority Major Responsibility %
1st Transition quality analytics from manual reporting to automated web based visual and analytics platform reports 15%
2nd Provide research and statistical analysis for investigating quality related issues and business decisions  20%
3rd Prepare easy to access and understand data, analysis and graphical reports for all product quality related data sources 30%
4th Lead compliance with new centralized data requirements, modify current queries and document all report processes 10%
5th Lead engineer in management of quality survey activities for KMNA PQ organization 25%



  • Bachelor’s Degree or equivalent experience required

Overall Experience

  • 5 years of experience in an engineering environment including 2 years of data management and analysis (including SAS)

Directly Related Experience



Automotive background a plus but not required.
Exceptional analytical skills and ability to develop concise and effective stories that are supported by data.
Proficient in MS Office, including Word, Excel, PowerPoint and Outlook.
Knowledge of SAS Visual Analytics a plus.
Knowledge of SAS programing language required.
Knowledge of statistical/hypothesis testing, sampling theory required.
High level of independent and rational judgment needed.
Strong technical acumen with excellent analytical and problem-solving skills
Must be self initiating; able to work under minimal supervision and under high pressure and stress with multiple same time deadlines.


Adapting to Change
CHALLENGE - Solving Complex Problems
Championing Customer Needs
COLLABORATION - Building and Supporting Teams
Communicating Effectively
CUSTOMER - Serving Customers
Delivering High Quality Work
Entrepreneurial Thinking
GLOBALITY - Showing Community and Social Responsibility
PEOPLE - Interacting with People at Different Levels
Solving Complex Problems


Equal Employment Opportunities

KMA 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.  KMA complies with applicable law governing non-discrimination in employment in every location in which KMA has offices.  The KMA 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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