Data System Specialist

Kia Corporation•Tustin, CA

About The Position

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 SummaryThe purpose of this position is to assist the Safety Analytics Manager in establishing and maintaining processes that collect and perform analysis of data to provide the Safety Office management with early identification of Potential Safety Issues (PSIs). These processes, including the platforms supporting them, are collectively known as Kia’s Safety Data Analytics Infrastructure (SDAI). The Data System Specialist will support the identification, design, development, and testing of technology and software applications needed to perform these functions as technology changes and additional data sources become available. This position will also support the improvement of existing systems and analysis methods, as well as collaborate with IT affiliates and outside vendors as necessary to maintain and enhance NASO data systems. This individual will develop, test, and implement changes to the SDAI as defects and enhancement proposals are identified by the North America Safety Office (NASO) Team. This individual should have a strong programming background, and a critical thought process to troubleshoot issues and find solutions. This individual should be a self-starter, able to work independently with minimal direction and oversight, and deliver and communicate solutions which meet NASO’s business needs.

Requirements

BS degree or equivalent work experience in Engineering, Statistics, Computer Science, or another quantitative field required.
2-3 years of experience supporting durable goods engineering, quality, safety, or statistical analysis.
4-5 years of experience in manipulating data sets and building statistical models.
Experience with Python and SQL. Additionally, experience with SAS programming language is strongly desired.
Experience working with and creating relational databases.
Experience with Text Categorization and building semantic models using SAS Visual Text Analytics and/or open-source solutions
Experience building visualizations and dashboards for stakeholders (e.g., using SAS Visual Analytics, Tableau, Power BI).
Good written and oral communication skills.
Good analytical skills and attention to detail.
Proficiency in statistical analysis concepts and building statistical models.
Experience querying databases and using statistical computer languages: Python, R, SQL, etc.
Knowledge of standard PC software such as Word documents and Excel spreadsheets.
Ability to work and communicate clearly with members of various Kia NA departments.

Nice To Haves

Experience with HTML and JavaScript is a plus
Experience supporting engineering, quality, safety, or statistical analysis.

Responsibilities

Develop and implement innovative solutions using closed and open-source software to optimize NASO’s data collection, analysis, and reporting efforts. (Including applications utilizing SAS, Python, Oracle, HTML, and JavaScript)
Establish and maintain processes for Data Analysis Engineers to access, analyze, and report PSIs by providing powerful analytic, statistical, and programming tools.
Work with IT and affiliates to develop systems to share and obtain data and analysis of PSIs.
Design, develop, and test automated processes to support data access and upload. Collaborate with IT and outside entities to obtain access to data.