About SK Battery America (SKBA)
As the flagship entity of SK On and a leader in the electric vehicle (EV) battery manufacturing sector, SKBA is at the forefront of advancing high nickel technology. With an impressive revenue of $2 billion and dedicated team of over 3,000 employees, we provide high-energy density battery cells to top automotive brands like Ford, Volkswagen, and Hyundai Motors. SKBA’s North American expansion is marked by strategic joint partnerships with industry giants such as Ford and Hyundai, underscoring our commitment to the evolving EV landscape.
Role and Responsibilities
- Managing data analysis system operation
- Response properly in a timely manner against increasing requirements from technology and manufacturing team
- Coming up with solutions to business problems using data-drive approaches
- Using SQL for analyzing and organizing production raw data
- Build view, data mart in database and data pipeline using SQL and ETL tool
- Combine raw information from variable systems
- Creating and managing dashboards and reports that communicate insights to stakeholders
- Identify opportunities for data acquisition
- Interpret trends and patterns from dashboards and materials
- Conduct complex data analysis and share on result with SMEs
- Collaborate and Communicate with not only process engineers but also management
- Explore ways to enhance data quality and reliability
Basic Qualifications:
- Bachelor’s degree in Computer Science, IT or related field.
- 3+ years experience in a data engineering or data analysis or in a similar role
- 3+ years experience with SQL and data modeling
- 3+ years experience Hands-on experience with SQL database design
- 1+ years experience with Data visualization Skill (i.e. Spotfire, Power BI, Tableau)
- 1+ years experience IT System operation and maintenance
- Knowledge of programming language, network and infrastructure
Nice to have:
- Experience of data engineering or analysis in manufacturing business (Preferred)
- HDFS, Kafka, NIfi, Apache Kudu and Impala experience (Preferred)
- AI, ML field experience (Preferred)
- Bi-lingual Korean a plus
