Data Analyst

Philippine Vending Corporation; Pasig; On-site; PHP 420,000 - 660,000; Full time

Job summary

A prominent corporate entity in the Philippines is seeking a candidate with a college degree and at least 2 to 3 years of experience in data science or data engineering. Responsibilities include data collection from various sources, ensuring data accuracy, and collaborating with the Data Team Lead. Ideal candidates should possess strong digital and problem-solving skills and an understanding of business. This role is vital for maintaining high-quality data analysis and reporting.

Qualifications

• At least 2 to 3 years of experience in data science or data engineering.
• At least 2 to 3 years of experience in data science or data engineering.
• Has digital skills, problem-solving skills, and business awareness.

Responsibilities

• Collect and process data from various sources for analysis.
• Clean, validate, and transform raw data into usable formats.
• Collaborate with the Data Team Lead on reports and data requests.
• Document data definitions, report logic, and processes.
• Ensure data accuracy and resolve inconsistencies.
• Stay updated on analytics tools and methods.

Skills

Digital skills

Problem-solving skills

Business awareness

Problem solving

Business awareness

Education

College graduate

Job description

QUALIFICATIONS

• Candidate must be a college graduate.
• At least 2 to 3 years of experience in data science or data engineering.
• Has digital skills, problem-solving skills, and business awareness.

RESPONSIBILITIES

• Collect and process data from various sources, including VMS, GoCanvas, manual reports, and internal databases.
• Clean, validate, and transform raw data into usable formats for reporting and analysis.
• Collaborate with the Data Team Lead and the MIS ad hoc data requests and ongoing report needs.
• Document data definitions, report logic, and processes for internal consistency and training purposes.
• Ensure data accuracy and flag anomalies or inconsistencies for resolution.
• Stay updated on analytics tools, methods, and best practices to continuously improve analysis quality.