Remote Digital Analytics Engineer

Inchcape Digital; Manila; Hybrid; PHP 900,000 - 1,200,000; Full time

Benefits offered by this job

Learning & Development

Career Growth

Skills Advancement

Flexible Work (hybrid/remote)

Health & Wellbeing (HMO)

Special Leave (birthday)

Work Tools

Job summary

Inchcape Digital is seeking a Digital Analytics Engineer to transform business requirements into scalable data models and analytics solutions. You will ensure data accuracy, integrity, and trustworthiness across the organization while collaborating with cross-functional teams to improve pipelines and align with business goals.

You will own analytics delivery end-to-end, from validation to production, and contribute to data governance, quality initiatives, and stakeholder alignment in a

Qualifications

• Experience in product analytics, digital analytics, or a technical data analyst role.
• Exposure to behavioral data and event-based measurement understanding.
• Basic scripting skills (SQL, JavaScript) for validation and quality checks.

Responsibilities

• Design scalable analytics solutions addressing business needs across markets.
• Own changes end-to-end: development, testing, deployment, production validation.
• Build reliable data solutions following best practices for reuse and scalability.
• Improve data assets through incremental enhancements and workflow optimization.
• Collaborate with Product, QA, and Engineering to clarify requirements.
• Communicate progress, risks, and trade-offs to stakeholders.

Skills

Product Analytics

Digital Analytics

Data Analyst

SQL

JavaScript

Tag Management

Tools

In-product instrumentation

Job description

Inchcape Digital is seeking a Digital Analytics Engineer to transform business requirements into scalable data models and analytics solutions. You will ensure data accuracy, integrity, and trustworthiness across the organization while collaborating with cross-functional teams to improve pipelines and align with business goals.

You will own analytics delivery end-to-end, from validation to production, and contribute to data governance, quality initiatives, and stakeholder alignment in a