Retention & Loyalty Lead — Data-Driven, Flexible Work

Angkas; Makati; Hybrid; PHP 1,339,200 - 2,008,800; Full time

Benefits offered by this job

Flexibility

Work-life balance

Free meals

Gym access

Career growth

Competitive salary

Startup energy

Global vibes

Tech-driven culture

Job summary

Angkas Manila hub is looking for a Retention & Loyalty Supervisor to build the analytics backbone for biker retention campaigns and incentive programs. You will ensure data reports, insights, and financial outputs are accurate and actionable, bridging analytics with product, finance, and operations.

You’ll lead Operations Data Analysts, own data quality, translate strategic priorities into clear workstreams, and present findings to senior stakeholders in a fast-growing tech environment with

Qualifications

• Bachelor's degree in Business Administration, Data Analytics, Statistics, Finance, Economics or related field.
• Minimum 3–5 years experience in operations, analytics or business intelligence.
• Experience leading or supervising a team of analysts and coaching direct reports.

Responsibilities

• Lead Operations Data Analysts, set performance expectations, conduct regular check-ins, ensure KPI targets are met.
• Own quality and timeliness of data reports and financial outputs; review before escalation to leadership.
• Translate strategic priorities into analytical workstreams, coordinating across Operations for efficient execution.
• Drive data-driven decisions by analyzing churn, segmentation, incentives, CLTV/CAC, and productivity reporting.

Skills

Team management

Data analysis

Stakeholder management

Communication

Problem solving

Education

Bachelor's degree in Business Administration, Data Analytics, Statistics, Finance, Economics

Tools

Google Sheets

Excel

SQL

Tableau

Looker

Job description

Angkas Manila hub is looking for a Retention & Loyalty Supervisor to build the analytics backbone for biker retention campaigns and incentive programs. You will ensure data reports, insights, and financial outputs are accurate and actionable, bridging analytics with product, finance, and operations.

You’ll lead Operations Data Analysts, own data quality, translate strategic priorities into clear workstreams, and present findings to senior stakeholders in a fast-growing tech environment with