Data Processor, Pasig

The Data Processor consolidates and cleans encoded datasets to produce billing-ready and management-ready reports. This role bridges raw encoded inputs into structured deliverables used for invoicing, performance reporting, and operational decisions.

Key Responsibilities

A. Data Consolidation / Merging

• Merge multiple encoder outputs into a single consolidated dataset per project/region/time period.
• Standardize column structures, naming conventions, and file versions prior to cleansing.

B. Data Cleansing & Preparation

• Clean data for billing and operational use: remove duplicates, fix inconsistent labels, normalize formats (dates, IDs, store names, locations).
• Apply validation rules (required fields, allowed values, range checks, cross-file consistency).
• Maintain an auditable trail: document cleansing rules applied and summarize exceptions.

C. Report Generation (Billing / Ops)

• Produce final clean reports for billing submission and internal reporting.
• Ensure that report outputs match required billing logic and SLA requirements.
• Coordinate with Finance/Billing on revisions, clarifications, and issue resolution.

D. Backup Coverage

• Backup Data Encoders for encoding tasks during headcount gaps or volume spikes.
• Provide short-term training/feedback to encoders to reduce recurring errors.

Minimum Qualifications

• College Graduate required (Fresh Graduate is ok)
• Ideal: Computer-related degree (IT, Computer Science, Information Systems, Engineering, etc.)

Required Skills / Competencies

• Intermediate to advanced Excel (lookup functions, pivot tables, data validation, structured formatting)
• Strong data hygiene mindset (standardization, consistency, traceability)
• Ability to work under billing deadlines and high accuracy requirements
• Comfortable handling multiple files/sources and managing file organization