Network Data Analyst

The Opportunity

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to improve field operations and enhance territory mapping analysis.

A key responsibility is visualizing Field Service performance through dynamic dashboards and automated reporting. The analyst will partner closely with cross-functional teams to develop, calculate, and analyze Field Service KPIs, identify trends and improvement opportunities, and deliver clear, actionable insights to leadership.

Responsibilities

• Design, build, and maintain automated dashboards and performance trackers to support business visibility.
• Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data visualizations.
• Prepare accurate operational reports and forecasts using BI platforms and ERP systems to help drive performance against goals.
• Streamline and automate planning processes in partnership with analytics teams, leveraging key insights to support continuous improvement.
• Gather, consolidate, and analyze data from multiple sources, transforming it into clear, actionable insights for leadership.
• Support the development and execution of strategies to optimize LG’s preferred network coverage.
• Perform detailed analyses of current processes, systems, and data flows to identify inefficiencies and recommend enhancements.
• Partner with cross-functional stakeholders to design and implement data-driven solutions.
• Develop geographic and territory map visualizations in Tableau to analyze network coverage.

Requirements

• Bachelor’s degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.).
• Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) is required.
• Experience with business intelligence tools and dashboard development (e.g., Tableau, Google Data Studio).
• Strong analytical and problem-solving skills with the ability to collaborate effectively across cross-functional teams.
• Travel requirement: Typically less than 10%.

Preferred Qualifications

• Bilingual proficiency in both Korean and English
• Experience using SQL for data querying.
• Experience with programming languages such as Python.
• Familiarity with cloud platforms, specifically Google Cloud Platform (GCP).