Operations Data Analyst - Manufacturing

HRTx Inc; Calamba; On-site; PHP 391,000 - 614,000; Full time

Job summary

HRTx Inc in Calamba, Laguna, is seeking an Operations Data Analyst to turn production data into actionable insights. You will analyze, validate, and organize operational data to improve efficiency and reporting accuracy, focusing on production-line data, reporting automation, and data-driven improvements.

The role requires a degree in a related field and 2–3 years in manufacturing data analysis, with advanced Excel, Power BI, Power Query, SQL, and Power Automate experience.

Qualifications

• Bachelor’s degree in Industrial Engineering, Business Administration, Information Technology, or a related field.
• 2–3 years experience in manufacturing or production operations with data analysis.
• Strong Excel skills (advanced formulas, Pivot Tables, Power Query).
• Knowledge of Power BI, Power Query, SQL, and Power Automate is preferred.
• Experience supporting production lines or operations reporting is a plus.

Responsibilities

• Analyze and review manufacturing data to support process improvement and productivity initiatives.
• Prepare, clean, and validate production datasets for internal and third-party reporting.
• Develop and maintain dashboards using Excel, Power BI, and Power Query.
• Automate data workflows using Power Automate.
• Provide timely, accurate data inputs to production planning and operations teams.
• Ensure data consistency across production lines and reports.
• Document data sources, reports, and automation outputs.
• Collaborate with cross-functional teams to resolve data discrepancies.
• Continuously build data analysis and SQL skills.

Skills

Advanced Excel

Power BI

Power Query

SQL

Education

Bachelor's Degree in Industrial Engineering, Business Administration, Information Technology, or related field

Tools

Power Automate

Job description

The Operations Data Analyst supports manufacturing and production operations by analyzing, validating, and organizing operational data to improve process efficiency, reporting accuracy, and decision support. The role focuses on production-line data, reporting automation, and data-driven process improvement initiatives within a manufacturing environment.

Key Responsibilities:

• Analyze and review manufacturing and production operations data to support process improvement and productivity initiatives.
• Prepare, clean, and validate production and operational datasets for internal use and third-party reporting requirements.
• Develop, maintain, and enhance reports and dashboards using Microsoft Excel (advanced), Power Query, and Power BI.
• Execute data workflows and automation using Power Automate based on defined operational requirements.
• Support production planning and operations teams by providing accurate, timely, and well-structured data inputs.
• Monitor data consistency and accuracy across production lines and operational reports.
• Coordinate with cross-functional teams to validate data, clarify requirements, and resolve data discrepancies.
• Maintain proper documentation of data sources, reports, processes, and automation outputs.
• Provide factual, data-backed insights to support continuous improvement and operational decision-making.
• Continuously build technical skills in data analysis, SQL, and system-based automation.

Qualifications & Requirements:

• Bachelor's Degree in Industrial Engineering, Business Administration, Information Technology, or a related field.
• At least 2- 3 years of experience in a manufacturing or production operations environment, with exposure to:
• Operations or production data analysis
• Process improvement or productivity initiatives
• Manufacturing or plant-level reporting
• Strong proficiency in Microsoft Excel, including advanced formulas, Pivot Tables, and Power Query.
• Working knowledge or experience with Power BI, Power Query, SQL, and automation tools (e.g., Power Automate) is preferred.
• Experience supporting production lines, operations reporting, or planning-related data is an advantage.
• Strong analytical skills, attention to detail, and ability to work with large operational datasets.
• Good communication skills and ability to coordinate with multiple stakeholders.

Additional Information

• Work schedule: Monday to Friday, 8:30 AM to 5:30 PM.
• Office Location: Calamba, Laguna