Alteryx Automation Engineer – Finance Transformation

ING Hubs Philippines; Metro Manila; On-site; PHP 900,000 - 1,600,000; Full time

Job summary

ING Philippines is seeking a Low Code Engineer specializing in Alteryx Intelligent Automation to design, build, and maintain scalable automation solutions for COO Finance priorities.

You'll collaborate with Business Analysts, Finance stakeholders, IT, and other automation specialists to translate business requirements into reusable, data-driven automation that reduces manual effort and enhances data quality across the organization.

Qualifications

• Minimum 3 years hands-on experience developing Alteryx solutions.
• Alteryx Designer Advanced Certification required.
• Strong experience building complex, scalable, maintainable workflows.
• Solid SQL and data transformation skills.
• Advanced Excel for data analysis and reporting.
• Experience translating business requirements into automation solutions.
• Good understanding of data governance and QA practices.
• Experience in Agile delivery environments.
• Excellent communication and stakeholder management.

Responsibilities

• Design, build, optimize, and maintain automation solutions using Alteryx.
• Collaborate with Business Analysts, Finance stakeholders, IT, and automation teams.
• Translate business requirements into reusable automation components.
• Expand automation capabilities to Power BI, APIs, and RPA tools.
• Ensure data quality, governance, and scalable architecture.

Skills

SQL

Data transformation

Analytical thinking

Agile teamwork

Stakeholder management

Communication skills

Continuous improvement mindset

Problem solving

Education

Alteryx Designer Advanced Certification

Tools

Alteryx

Power BI

Power Automate

APIs

RPA platforms

Excel

Job description

ING Philippines is seeking a Low Code Engineer specializing in Alteryx Intelligent Automation to design, build, and maintain scalable automation solutions for COO Finance priorities.

You'll collaborate with Business Analysts, Finance stakeholders, IT, and other automation specialists to translate business requirements into reusable, data-driven automation that reduces manual effort and enhances data quality across the organization.