Senior Data Analyst & Analytics Engineer (AI-Driven)

Ninja Van PH

Taguig

On-site

PHP 600,000 - 900,000

Full time

10 days ago

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Job summary

Ninja Van Philippines is seeking a talented software engineer for the Business Analytics Unit to design and enhance web applications, APIs, and data workflows that power our data-driven logistics network.

Collaborate with business and technical teams to implement practical tools, review logs, and ensure secure, reliable data processing. Apply AI-assisted development tools and maintain solutions post-launch, driving continuous improvement across the analytics stack.

Qualifications

  • Experience in full-stack web development using JavaScript/TypeScript and modern UI frameworks.
  • Experience with API development and server-side integration.
  • Familiarity with AI-assisted development tools and testing practices.
  • Knowledge of React/Next.js and MySQL; ability to review logs and troubleshoot.

Responsibilities

  • Work with business and technical teams to identify operational needs and plan practical tools or system improvements.
  • Develop and improve web applications, including user interfaces, APIs, database connections, and automated workflows.
  • Use approved AI development tools to support coding, testing, and documentation, and review the output for accuracy and security.
  • Maintain tools after launch, resolve issues, and keep documentation updated for ongoing support and handover.
  • Monitor tool performance, errors, and data updates, and coordinate with the appropriate teams to resolve problems.
  • Track improvement requests and follow agreed code review, testing, user acceptance, and release processes.
  • Follow company requirements for access controls, data security, and separation of client information.

Skills

Full-stack JS/TS
UI framework
API development
SQL
Git
Testing
AI-assisted tools
React/Next.js
MySQL
Debugging logs

Tools

Git
MySQL
Next.js
React

Job description

Ninja Van Philippines is seeking a talented software engineer for the Business Analytics Unit to design and enhance web applications, APIs, and data workflows that power our data-driven logistics network.

Collaborate with business and technical teams to implement practical tools, review logs, and ensure secure, reliable data processing. Apply AI-assisted development tools and maintain solutions post-launch, driving continuous improvement across the analytics stack.

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