Senior Production Data & Process Optimization Analyst

HRTX

Laguna

On-site

PHP 800,000 - 1,100,000

Full time

14 days+

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Job summary

HRTX is seeking a Senior Process Improvement Analyst to enhance manufacturing data collection, processing, and usage. You will drive reporting automation, build dashboards, and support planning with accurate data inputs.

The role partners with Data Operations and Manufacturing teams to deliver data-driven, continuous improvement initiatives. Ideal candidates have 3+ years in manufacturing operations, strong Excel and Power BI skills, and experience with Power Query, SQL, and workflow automation.

Qualifications

Bachelor's degree in Industrial Engineering, Business Administration, Information Technology or related field.
Minimum of 3 years of experience in a manufacturing or production operations environment.
Experience in process improvement or productivity analysis.
Experience with manufacturing or operations data review.
Experience with production line or plant-level reporting.
Strong proficiency in Microsoft Excel, including advanced formulas, Pivot Tables, and Power Query.
Working knowledge or hands-on experience with Power BI, Power Query, SQL, and workflow automation tools.
Experience supporting production, operations reporting, or planning-related data is an advantage.
Strong analytical mindset, attention to detail, and ability to work with large operational datasets.
Effective communication and coordination skills for cross-functional collaboration.

Responsibilities

Analyze manufacturing and production line data to identify inefficiencies and improvement opportunities.
Prepare, clean, and validate operational datasets used for production planning, reporting, and third-party data submissions.
Develop and maintain automated reports and dashboards using Excel (advanced), Power Query, Power BI, and related tools.
Execute data workflows and automation using Power Automate based on defined business requirements.
Support demand planning and production planning teams by providing accurate, timely, and well-structured data inputs.
Coordinate with internal stakeholders (manufacturing, operations, planning) to ensure data consistency and alignment.
Maintain clear documentation of data sources, processes, reports, and automation outputs.
Provide factual, data-backed insights to support continuous improvement and productivity initiatives.
Progressively build technical capability in SQL, system-based automation, and advanced data analysis.