LG Energy Solution Vertech, Inc. (LGES Vertech) is seeking a Data Analyst to transform data into actionable insights for Battery Energy Storage Systems (BESS), supporting internal teams and external clients in optimizing storage system operations and enhancing advanced asset analytics products.
Requirements
- Proven expertise in building dashboards and interactive applications with Streamlit.
- Proficiency with SQL and experience working with relational databases; familiarity with Snowflake is strongly preferred.
- Solid Python programming skills for data manipulation, analysis, and visualization.
- Experience with Git-based workflows for version control and collaborative development.
- Strong skills in data visualization and storytelling, with the ability to present insights to both technical and non-technical audiences.
- Experience with Power BI or other business intelligence tools.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, particularly for analytics and reporting workflows.
Responsibilities
- Design, build, and maintain intuitive data visualizations and standardized reports that provide clear insights into system performance, usage patterns, and operational health of Battery Energy Storage Systems (BESS).
- Translate complex datasets into compelling data stories that enable internal stakeholders and external clients to make informed, timely decisions.
- Support the development and continuous improvement of the team’s advanced asset analytics products by creating scalable, user-friendly reporting frameworks.
- Develop and document reporting pipelines and visualization to improve consistency and reusability across projects and sites.
- Perform exploratory data analysis (EDA) and trend identification to uncover patterns, anomalies, and emerging issues that can inform product development and predictive models.
- Deliver ad-hoc analyses and customized reports to support commissioning, operations, warranty management, and customer-facing performance reviews.
- Apply statistical methods and basic forecasting techniques to support root cause investigations and provide early insights into performance deviations.
Other
- 2–5 years of hands-on experience in data analytics, business intelligence, or a similar role.
- Demonstrated ability to manage multiple projects, prioritize effectively, and deliver accurate results under tight deadlines.
- Must be legally authorized to work in the U.S. without employer sponsorship.
- Exposure to time-series data and performance monitoring in industrial, manufacturing, or energy systems.
- Experience in developing or supporting analytics products for operational monitoring, diagnostics, or reporting.
