Data Analysis Specialist at SK Battery America
Alpharetta, GA 30009, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Dec, 25

Salary

0.0

Posted On

01 Sep, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power Bi, Sql, Tableau, Spotfire, Programming Languages, Ml, Data Analysis, It Infrastructure, Computer Science, Kafka, Data Marts, Alteryx, Etl, Database Design, Data Visualization, It, Data Engineering

Industry

Information Technology/IT

Description

BASIC QUALIFICATIONS

  • Bachelor’s degree or higher in computer science, IT, or similar field
  • 1+ year of experience in a data engineering or data analysis or similar role
  • Technical expertise with SQL, ETL, and data modeling
  • Hands-on experience with SQL database design
  • Experience designing, building, and maintaining data marts
  • Proficiency in data visualization using tools such as Spotfire, Power BI, Tableau, etc.
  • IT System operation and maintenance experience
  • Knowledge of programming languages, networks, and IT infrastructure

PREFERRED QUALIFICATIONS

  • Master’s degree in a relevant field
  • Any accredited certification in data engineering or analysis
  • Experience with data engineering/analysis in a manufacturing environment
  • Experience with Alteryx, HDFS, Kafka, Nifi, Apache Kudu, and/or Impala
  • AI and ML experience
  • Korean language proficiency
    Shift: Day Shif

How To Apply:

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Responsibilities
  • Manage the operation of a comprehensive data analysis system
  • Build views, data marts, and data pipelines using SQL and ETL tools
  • Use SQL and data tools to analyze and organize production, equipment, and testing data
  • Create and manage dashboards and reports that communicate insights to stakeholders
  • Collaborate with the technology and manufacturing teams to obtain requirements for their data needs
  • Communicate with cross-functional teams and create data-driven solutions to meet business needs
  • Process raw data from various systems into readily usable formats
  • Identify and interpret data trends and patterns using dashboards and other indicators
  • Identify opportunities for data acquisition and conduct complex data analyses with SMEs
  • Enhance general data quality and reliability
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