Insight-Driven Data Analyst

LG Electronics; Quezon City; On-site; PHP 550,000 - 850,000; Full time

Job summary

LG Electronics is seeking a Data Analyst to transform raw data into actionable insights and support customer-service improvements. You’ll analyze datasets, communicate findings to management, and monitor performance metrics to identify gaps.

Join LG Electronics to design analytics solutions, publish regular service reports, and help drive decisions across global teams with a focus on data quality and timely delivery.

Qualifications

• Bachelor’s degree in Mathematics, Economics, Industrial Engineering, CS, Information Management, Statistics, or related field.
• Minimum 3 years of experience in data analysis or similar role.
• Proficient in Excel and PowerPoint; data visualization tools a plus.
• Strong analytical and problem‑solving skills; able to work independently.
• Detail-oriented with ability to meet tight deadlines.
• Excellent organizational and time-management skills.

Responsibilities

• Interpret complex data sets to produce insightful reports.
• Design and implement databases, data collection systems, and analytics strategies.
• Publish timely reports on service operations (daily/weekly/monthly/quarterly).
• Analyze KPI trends to identify performance improvements.
• Collaborate with cross-functional teams to define information needs and actions.

Skills

Analytical skills

Independent work

Time management

Education

Bachelor’s degree in Mathematics, Economics, Industrial Engineering, Computer Science, Information Management, Statistics, or related field

Tools

Excel

PowerPoint

Data visualization tools

Job description

LG Electronics is seeking a Data Analyst to transform raw data into actionable insights and support customer-service improvements. You’ll analyze datasets, communicate findings to management, and monitor performance metrics to identify gaps.

Join LG Electronics to design analytics solutions, publish regular service reports, and help drive decisions across global teams with a focus on data quality and timely delivery.