Service Strategy & Analytics Analyst
Quick Summary
Analyze large-scale service operations data to uncover trends, root causes, and improvement opportunities across the customer service journey.
Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field. 2+ years of experience in data analysis, business analytics, or strategic planning.
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
What We Offer
~3 min readLG Electronics’ Service organization is seeking a data-driven Service Strategy & Analytics Analyst to support the modernization of how we understand, measure, and improve the customer service experience. This role will leverage AI-powered analytics, automation, and predictive modeling to transform raw operational data into meaningful insights and strategic recommendations.
The Service Strategy & Analytics Analyst will be responsible for identifying trends, evaluating service performance, and developing data-driven solutions that help improve efficiency, service quality, and the overall customer experience. This position will work closely with cross-functional teams to translate complex data into actionable strategies that support business objectives and drive continuous improvement across the service organization.
The ideal candidate is analytical, detail-oriented, and passionate about using data and technology to solve business challenges and influence meaningful change.
Responsibilities
~1 min read- →Analyze large-scale service operations data to uncover trends, root causes, and improvement opportunities across the customer service journey.
- →Build and maintain AI-assisted dashboards and automated reporting tools that reduce manual work and surface insights faster.
- →Apply predictive analytics and forecasting techniques (e.g., workforce/capacity forecasting, demand trends) to support proactive decision-making.
- →Explore and pilot AI/ML and generative AI tools to automate data preparation, reporting, and pattern detection.
- →Prepare business review materials, forecasts, and planning models that translate complex data into clear recommendations for leadership.
- →Partner with cross-functional teams (Field Service, HR, Finance, Customer Care) to design and implement data-driven strategic initiatives.
- →Continuously improve data pipelines and reporting processes to increase accuracy, speed, and scalability.
Requirements
~1 min read- Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field.
- 2+ years of experience in data analysis, business analytics, or strategic planning.
- Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, formulas).
- Experience building reports/dashboards using BI tools (e.g., Tableau, Power BI, Google Data Studio).
- Interest in or hands-on experience applying AI tools to analytics or automation work.
- Strong analytical and problem-solving skills, with the ability to translate data into clear business insights.
- Excellent written/verbal communication skills.
- Bilingual proficiency in Korean and English.
- Experience with SQL, Python, or AI/ML tools for advanced analytics.
- Experience using generative AI tools to accelerate analytical work.
- Familiarity with cloud platforms (e.g., GCP, AWS, Azure).
Location & Eligibility
Listing Details
- Posted
- September 1, 2026
- First seen
- September 1, 2026
- Last seen
- September 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- September 1, 2026
Signal breakdown
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