Job title: Data Analyst (English Speaking)
Job type: Outsource Project
Emp type: Full-time
Industry: Medical Device
Functional Expertise: Others
Pay interval: Monthly
Pay rate: Negotiable
Location: Bangkok, TH
Job published: 2025-02-13
Job ID: 131979
Contact name: Niran Seechaingsa
Phone number: +66632378589

Job Description

More than just a recruitment company. At PRTR, we have been a part of our customer's success for 30 years as their total HR solutions partner. With 550 dedicated professionals and over 15,000 outsourced staff, we will continue to carry out our mission to develop a better career, a better life, and a better society and thrive to become the No.1 people solutions organization in Southeast Asia.

Responsibilities:

  • Analyzing and preparing comparative reports (daily, monthly, yearly) by comparing past data, targets, and future projections for management presentations.
  • Preparing the annual budget for sales and promotional expenses.
  • Generating monthly Profit & Loss (P&L) summary reports from a management perspective.
  • Developing and maintaining databases to support data calculations and reporting for relevant departments.
  • Designing dashboards using tools like Power BI to present key data in an accessible and user-friendly format.
  • Creating standardized templates for various departments to streamline data collection and improve efficiency.
  • Conducting in-depth analysis of relevant data as assigned.
  • Guiding data analysis to departments utilizing data for decision-making.
  • Performing other assigned tasks as required.

Qualifications:

  • Bachelor’s degree in Business Administration, Finance, Statistics, Data Analytics, or a related field.
  • At least 1 year of experience in data analysis, business analysis, or a related role.
  • Strong analytical and problem-solving skills with the ability to interpret complex data.
  • Proficiency in Microsoft Excel, Power BI, and other data visualization tools.
  • Knowledge of database management and data processing techniques.
  • Strong attention to detail and ability to work with large datasets.
  • Good communication and presentation skills.
  • Self-motivated with a proactive approach to problem-solving.