Digital Ecosystem Performance & KPI Analyst

Home Credit Philippines; Taguig; On-site; PHP 360,000 - 600,000; Full time

Benefits offered by this job

Permanent dayshift schedule

Up to 50% variable performance-based

HMO on Day 1 and dependents coverage

Mental health and wellness partners

Wellness Leaves and Birthday Leave

Internal career mobility

Local and international learning

Job summary

Home Credit Philippines is seeking a Digital Performance Specialist to analyze the Digital Ecosystem, identify improvement opportunities, and support digital payment processes across streams. The role involves KPI management, benchmarking, and collaborating with cross‑functional teams to deliver initiatives and track market needs.

The ideal candidate has at least 2 years of experience in a product/analytics-focused role, strong data analytics skills, and advanced Excel.

Qualifications

• 2+ years’ experience as a Product Specialist or equivalent role.
• Familiarity with data analytics and ability to translate data into actions.
• Advanced MS Excel skills and basic SQL knowledge.

Responsibilities

• Monitor, analyze, and report Digital Ecosystem KPIs to stakeholders.
• Identify new KPIs and define measurement methods and drivers.
• Conduct post‑project evaluations and iterate KPI management as needed.
• Benchmark and analyze competitors in Digital Ecosystem and Payments products.
• Collaborate with Product Owner, Project Managers, and stakeholders to outline scope, goals, deliverables, and resources.
• Communicate improvement expectations to teams and partners.

Skills

Data analytics

Excel skills

Data storytelling

SQL

Tools

MS Excel

Job description

Home Credit Philippines is seeking a Digital Performance Specialist to analyze the Digital Ecosystem, identify improvement opportunities, and support digital payment processes across streams. The role involves KPI management, benchmarking, and collaborating with cross‑functional teams to deliver initiatives and track market needs.

The ideal candidate has at least 2 years of experience in a product/analytics-focused role, strong data analytics skills, and advanced Excel.