IT/Data Analyst Staff

YTO EXPRESS Philippines; Pasay; On-site; PHP 279,000 - 446,400; Full time

Job summary

YTO EXPRESS Philippines is seeking a Data Analyst Staff to gather, process, and analyze data to support business decisions. Key responsibilities include generating reports, monitoring KPIs, and providing data-driven recommendations. Candidates should have experience with logistics data and knowledge of programming languages like Python or R. This role is crucial for enhancing data integrity and improving reporting processes.

Qualifications

• Experience with logistics data is preferred.
• Ability to analyze large datasets effectively.
• Familiarity with Python or R programming languages is an advantage.

Responsibilities

• Gather, clean, and organize data from various sources.
• Analyze data to identify trends and insights.
• Prepare reports for management and develop dashboards.
• Monitor KPIs and support departments with data insights.
• Ensure data accuracy and assist in reporting processes.

Skills

Experience with logistics or operations data

Ability to work with large datasets

Knowledge of Python

Knowledge of R

Time management

Job description

The Data Analyst Staff is responsible for collecting, processing, and analyzing data to help the company make informed business decisions. This role involves interpreting data trends, generating reports, and providing insights that support operational and strategic initiatives.

Key Responsibilities

• Gather, clean, and organize data from various sources
• Analyze data to identify trends, patterns, and insights
• Prepare daily, weekly, and monthly reports for management
• Develop dashboards and visualizations for easy data interpretation
• Monitor key performance indicators (KPIs) and operational metrics
• Support different departments by providing data‑driven recommendations
• Ensure data accuracy and integrity at all times
• Assist in improving data collection and reporting processes

Preferred Skills

• Experience with logistics or operations data (if applicable)
• Ability to work with large dataset
• Knowledge of programming languages (Python, R) is a plus
• Time management and ability to meet deadlines