Night Data Analyst: Insights, Trends & Quality Control

National Data and Surveying Services Inc; Pasig; On-site; PHP 420,000 - 720,000; Full time

Job summary

National Data and Surveying Services Inc. in Pasig City seeks a data analytics professional to process datasets and support metric updates aimed at productivity and cost efficiency.

You will collaborate with cross-functional teams to enhance tools, ensure data quality, and deliver clear insights for decision-making. The role emphasizes strong Excel skills, statistical acumen, and the ability to handle large, potentially messy datasets with meticulous attention to detail.

Qualifications

• B.S. in a quantitative field (math, statistics, economics, or similar)
• 2+ years of data analytics, data mining, statistics, or mathematics (preferred)
• Fresh graduates are welcome to apply

Responsibilities

• Process data sets
• Manage data collection for updating metrics to achieve productivity targets, reduce cost per unit, eliminate errors, and deliver excellent customer service
• Partner with cross-functional teams to improve proprietary tools and systems
• Quality control through comparative analysis
• Identify, analyze, and interpret trends or patterns in complex data sets
• Prepare weekly and monthly data interpretation summary
• Look for data inconsistencies in various data tables and databases
• Secure database completeness and integrity

Skills

Communication

Presentation

Attention to detail

Analytical thinking

Business acumen

Problem solving

Mathematics

Data wrangling

Education

B.S. in a quantitative field

Tools

Microsoft Excel

Job description

National Data and Surveying Services Inc. in Pasig City seeks a data analytics professional to process datasets and support metric updates aimed at productivity and cost efficiency.

You will collaborate with cross-functional teams to enhance tools, ensure data quality, and deliver clear insights for decision-making. The role emphasizes strong Excel skills, statistical acumen, and the ability to handle large, potentially messy datasets with meticulous attention to detail.