AI-Driven Service Analytics Analyst

LG Electronics Customer Service (LGEAI); Huntsville (AL); On-site; USD 70,000 - 75,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401(k) plan

Paid time off

Performance incentives

Mental health resources

Parental leave

Life insurance

Disability insurance

Job summary

LG Electronics Customer Service (LGEAI) seeks a data-driven Service Strategy & Analytics Analyst to transform customer service insights with AI-powered analytics and predictive modeling. You will turn raw operations data into actionable recommendations to improve efficiency and experience.

You'll build AI-assisted dashboards, forecast demand, and collaborate with Field Service, HR, Finance, and Customer Care to drive continuous improvement across the service organization.

Qualifications

• Bachelor's degree in Business, Economics, Data Science, Statistics, or related field.
• 2+ years of data analysis, business analytics, or strategic planning.
• Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, formulas).
• Experience building reports/dashboards using BI tools (Tableau, Power BI, Google Data Studio).

Responsibilities

• Analyze large-scale service operations data to uncover trends and improvement opportunities.
• Build and maintain AI-assisted dashboards and automated reporting tools.
• Apply predictive analytics and forecasting for workforce planning.
• Pilot AI/ML tools to automate data prep and reporting.
• Prepare business reviews and planning models for leadership.
• Collaborate with Field Service, HR, Finance, and Customer Care.
• Improve data pipelines for accuracy and speed.

Skills

Analytical skills

Advanced Excel

Business analytics

Education

Bachelor's degree in Business, Economics, Data Science, Statistics, or related field

Tools

Tableau

Power BI

Google Data Studio

SQL

Python

AI/ML tools

Cloud platforms (GCP, AWS, Azure)

Job description

LG Electronics Customer Service (LGEAI) seeks a data-driven Service Strategy & Analytics Analyst to transform customer service insights with AI-powered analytics and predictive modeling. You will turn raw operations data into actionable recommendations to improve efficiency and experience.

You'll build AI-assisted dashboards, forecast demand, and collaborate with Field Service, HR, Finance, and Customer Care to drive continuous improvement across the service organization.