Bulge Bracket Investment Banks

Posted 8 days ago

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**Data Analytics & Reporting Specialist, Home Lending Operations** - **Build**, test, and maintain operational, analytical reports, and dashboards using SQL, BI tools (Alteryx, Power BI, Tableau, etc.) and Python for data analysis and automation. - **Analyze** high-volume datasets, apply statistical methods and machine learning techniques to uncover drivers, optimize processes, and support operational initiatives. - **Collaborate** with business stakeholders to define success metrics, measurement approaches, identify reporting requirements, and improve workflows using large language models and automation. - **Document** logic, definitions, assumptions for repeatable reporting and auditable analysis. - **Support** process improvement and automation efforts from pilot to production readiness. - ** Partner** with risk and control stakeholders to align reporting and analytics with standards and controls. - Requires Bachelor's degree in quantitative field, 5+ years in quantitative data analysis, SQL, SQL programming, and BI tools experience. - Ideal fit: home lending operations experience, familiarity with generative AI, process improvement background, and strong stakeholder management skills. - Role based in Metro Manila, NCR, Philippines.

Compensation: Not specified
City: Manila
Country: Not specified

Full Job Description

Location: Metro Manila, National Capital Region, Philippines

Make your mark by combining reporting excellence with advanced analytics to improve how home lending operations run. Youll build trusted dashboards and deliver rigorous analysis that helps teams make faster, better decisions. Youll work with diverse partners to identify process improvement opportunities and measure results. Youll also explore responsible uses of modern analytics, including artificial intelligence, to improve efficiency and controls. If you enjoy building products and insights that get used, this role is for you.

Job summary

As a Data Analytics and Reporting Specialist in Home Lending Operations, you build and maintain reporting products while delivering deep analytical insights that improve performance and processes. You use data from multiple sources to identify trends, explain outcomes, and recommend actions. You apply statistical and machine learning techniques where appropriate to support operational optimization and business initiatives. You help evaluate opportunities to use large language models and analytics automation to improve workflows. You communicate clearly so stakeholders can act with confidence.

Job responsibilities

Develop, test, and maintain operational and analytical reports and dashboards using SQL and business intelligence tools

Extract, transform, and synthesize data from multiple sources to produce reliable metrics and insights

Perform data discovery and in-depth analysis on high-volume datasets to support home lending operational initiatives

Apply statistical methods and machine learning techniques to uncover drivers, improve performance, and optimize processes

Define success metrics, measurement approaches, and reporting requirements with business and operational stakeholders

Identify opportunities to use large language models and analytics automation to improve workflows and reduce manual effort

Implement monitoring and quality checks to improve data integrity, report stability, and metric consistency

Document logic, definitions, and assumptions to enable repeatable reporting and auditable analysis

Support process improvement and automation efforts from pilot through production readiness

Partner with risk and control stakeholders to align reporting and analytics to applicable standards and controls

Required qualifications, capabilities, and skills

Bachelors degree in a quantitative, analytical, or related field

Five years of experience in quantitative data analysis

Five years of experience writing SQL for relational databases, including Oracle

Five years of experience developing dashboards and reports using business intelligence tools (for example, Alteryx, Power BI, Tableau, SSRS, or ThoughtSpot)

Experience programming in Python for data analysis and automation

Experience applying statistical analysis methods to real business or operational problems

Ability to translate business questions into analytical approaches, metrics, and clear outputs

Strong written and verbal communication skills across technical and non-technical audiences

Strong time management and prioritization skills, with the ability to manage multiple deliverables

Strong attention to detail and organization, including documentation and validation practices

Preferred qualifications, capabilities, and skills

Experience supporting home lending operations, products, or related functions

Familiarity with generative artificial intelligence concepts, including basic prompt development and evaluation

Experience implementing process improvements, operational testing, or production monitoring for analytics solutions

Experience influencing stakeholders through negotiation and practical, win-win solutions

Build dashboards and advanced analytics to improve home lending operations through measurable insights and automation.

Full Job Description