Data Analyst

REQ-10114552
12/05/2026
Data Analysis
Makati City, Philippines
ING Hubs

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Job Overview

The Data Analyst will be accountable for producing analytics and insights which deliver material efficiency, risk and customer experience benefits. The incumbent will be accountable for the end-to-end development of analytics including requirements gathering, sourcing and integrating data, building analytical models, publishing insights and data visualization as well as the ongoing maintenance and optimization of these assets.

The role works with, and supports Senior Management, Tribes and Process Leaders to execute a data driven optimization strategy for business decisioning.

Key Responsibilities

Develop reporting & analytics which aim to use reporting, monitoring and predictive analytics to optimise business performance
Use complex data and tools to understand all aspects of process performance and explain performance trends to senior stakeholders and business partners
Recommend process improvements to senior stakeholders
Utilise best practice data visualisation techniques to powerfully convey insights and facilitate data discovery
Drive a culture of continuous improvement and innovation within business units to improve service, reduce costs and manage risk within appetite

Key Capabilities/Experience

For a Senior role: 5+ years of work experience in a data-related position within a banking team, working with business and technical experts.
Strong experience in processing data for BI purposes: exploring and processing data, data modelling, data warehouses, data quality and analysis.

Minimum Qualifications

Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, and data management is a strong plus.
Experience in relational database & data warehouse.
Proficiency in querying languages (e.g. SQL, SAS) or other data mining and manipulation tools
Extensive experience using data visualisation tools in creating storytelling dashboards and reports (e.g. Power BI, Cognos, Tableau)
Experience in building predictive analytical models (e.g. Python) is a plus.
Strong communication skills
Ability to operate at own initiative with a pro-active attitude in line with bank policy
Effective interpersonal skills
Strong organizational, analytical and problem-solving skills

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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.