Data Analyst

LG Electronics Philippines Inc.

Pasig

On-site

PHP 420,000 - 660,000

Full time

2 days ago
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Job summary

LG Electronics Philippines Inc. is seeking a data analyst who will interpret data, analyze results, and provide ongoing reports to management. You will develop data collection systems and collaborate with teams to improve service operations.

The role requires a 3+ year track record in data analysis, strong Excel skills, and the ability to communicate insights clearly through reports and presentations in a fast-paced environment.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Economics, Industrial Engineering, CS, or related field.
  • At least 3 years' experience in data analysis or similar role.
  • Proficient in MS Excel and PowerPoint; knowledge of data visualization tools a plus.
  • Strong analytical, problem-solving, and multitasking skills; able to work independently in a fast-paced environment.
  • Ability to communicate insights clearly through reports and presentations.
  • Skilled in process optimization and performance improvement.

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Provide situational reports with reasons, breakdown, & action/recommendation
  • Assess current Customer Service operations based on KPI trend analysis to determine areas that need enhancement
  • Assist with project planning and management
  • Locate and define new process improvement opportunities
  • Work with management to prioritize business and information needs
  • Collaborate with different teams to design, develop, generate, and validate service reports, and process documentation
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Publish daily/weekly/monthly/quarterly reports on general service operations as well as the Ad-Hoc reports for the local & HQ management

Skills

Analytical skills
Problem solving
Multitasking
MS Excel
PowerPoint
Data visualization
Communication
Process optimization

Education

Bachelor's degree in Statistics or related field

Job description

About the role

This position analyzes data sets to discover ways to solve issues relating to a business's customers. A data analyst also communicates this information to management and other stakeholders. He/she will also monitor performance and quality control plans to identify improvements.

Key responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports

  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

  • Provide situational report (reasons, breakdown, & action/recommendation)

  • Assess current Customer Service operations based on KPI trend analysis to determine areas that need enhancement

  • Assist with project planning and management

  • Locate and define new process improvement opportunities

  • Work with management to prioritize business and information needs

  • Collaborate with different teams to design, develop, generate, and validate service reports, and process documentation

  • Acquire data from primary or secondary data sources and maintain databases/data systems

  • Publish daily/weekly/monthly/quarterly reports on general service operations as well as the Ad-Hoc reports for the local & HQ management

About you
  • Bachelor's degree in Statistics, Mathematics, Economics, Industrial Engineering, Computer Science, Information Management, or related field

  • At least 3 years' experience in data analysis or similar role

  • Proficient in MS Excel and PowerPoint; knowledge of data visualization/analytics tools a plus

  • Strong analytical, problem-solving, and multitasking skills; able to work independently in a fast-paced environment

  • Ability to communicate insights clearly through reports and presentations

  • Skilled in process optimization and performance improvement

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