Data Process Improvement Senior Staff

PM Consulting

Philippines

On-site

PHP 550,000 - 850,000

Full time

14 days+

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Job summary

PM Consulting is seeking a Data Process Improvement Senior Staff to analyze and organize production data, supporting process efficiency, reporting accuracy, and data-driven decision making in a manufacturing environment.

The role focuses on production-line data, reporting automation, and cross-functional collaboration; you will develop dashboards in Excel, Power Query, and Power BI, and implement data workflows with Power Automate.

Qualifications

  • Bachelor’s Degree in Industrial Engineering, Business Administration, Information Technology, or a related field.
  • 2-3 years of experience in a manufacturing or production operations environment.
  • Experience in operations data analysis and process improvement.
  • Proficiency in Microsoft Excel (advanced formulas, Pivot Tables, Power Query).
  • Familiarity with Power BI, Power Query, SQL, and Power Automate is preferred.
  • Strong analytical skills and ability to work with large datasets.
  • Good communication and stakeholder coordination.

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.

Skills

Advanced Excel
Power BI
Power Query
SQL
Data analysis
Stakeholder communication

Education

Bachelor's degree

Tools

Power Automate

Job description

About the job Data Process Improvement Senior Staff

The Data Process Improvement Senior Staff 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.
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