Incentive Analyst — Auto OEM Rewards & Data Insights

MicroSourcing

Quezon City

Hybrid

PHP 480,000 - 750,000

Full time

14 days+

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Benefits offered by this job

Competitive Rewards
Collaborative Spirit
Work-Life Harmony
Career Growth
Inclusive Teamwork

Job summary

MicroSourcing in Manila area is seeking an Incentive Analyst to triage, analyze and input OEM incentive rules into our internal databases, ensuring accurate categorization and timely updates. You will monitor OEM incentives, perform QA on outputs, and provide technical content knowledge to product development and QA teams to support reliable client reporting and decision-making.

This hybrid night-shift role offers growth in a dynamic shared services environment and exposure to automotive data

Qualifications

  • Ability to convert complex OEM rules into structured database inputs.
  • High-speed data entry with accuracy.
  • Self-directed web research to extract promotional information.
  • Strong auditing of offer compatibility and dates.

Responsibilities

  • Triage and input OEM incentive rules into internal tools.
  • Evaluate logic matrices for incentives and offers.
  • Perform quality control audits on database outputs.
  • Monitor manufacturer sites for real-time incentive changes.
  • Categorize program metadata and ensure automated client reports.
  • Provide technical content knowledge to product and QA teams.

Skills

Data entry
Web research
Data integrity
QA testing
Rules thinking

Tools

Proprietary DB platforms
CMS tools
Relational data systems
MS Excel / Google Sheets

Job description

MicroSourcing in Manila area is seeking an Incentive Analyst to triage, analyze and input OEM incentive rules into our internal databases, ensuring accurate categorization and timely updates. You will monitor OEM incentives, perform QA on outputs, and provide technical content knowledge to product development and QA teams to support reliable client reporting and decision-making.

This hybrid night-shift role offers growth in a dynamic shared services environment and exposure to automotive data

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