Data-Driven Business Analyst - FED & Regulatory Reporting

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

Job summary

ING Hubs Philippines in Manila is seeking a Data Analyst to drive data management, requirements, mapping and modelling for business reporting. You will join a squad within Tribe GR and contribute to standard data products for regulatory and internal reporting.

You will work with data modelers and engineers, validate data quality, assist UAT, and support data delivery across time zones while maintaining focus on accuracy and process improvements.

Qualifications

• Sourcing, classifying & onboarding data for different business areas.
• Knowledge of data management, large data sets and data quality.
• Hands-on SQL and MS Excel proficiency.
• Understanding of data modelling and explaining models in natural language.
• Experience with change delivery in an agile environment.
• Experience in regression and User Acceptance testing.
• Experience building data requirements for statutory and regulatory reporting.

Responsibilities

• Analyze FED and internal reporting requirements with ING USA colleagues.
• Translate requirements into clearly defined data needs and specs.
• Collaborate with data modelers and data engineers in FRIDA to integrate data.
• Validate data for regulatory and internal standards and support UAT.
• Maintain and develop data requirements and improve data quality.

Skills

SQL

MS Excel

Data modelling

Data quality

Stakeholder communication

UAT testing

Regulatory reporting

Requirements management

Education

Bachelor’s degree in Economics or related field

Job description

ING Hubs Philippines in Manila is seeking a Data Analyst to drive data management, requirements, mapping and modelling for business reporting. You will join a squad within Tribe GR and contribute to standard data products for regulatory and internal reporting.

You will work with data modelers and engineers, validate data quality, assist UAT, and support data delivery across time zones while maintaining focus on accuracy and process improvements.