DDR - Senior Business Analyst

2 weeks ago

Taguig, National Capital Region, Philippines ING Full time

You will be a part of the tribe Data Foundation as a Business Analyst in the squad Data Driven Reporting. Using your Finance and/or Risk experience, in this role, you will focus on data management, data requirements, data definition & mapping, data onboarding, data analysis, data modelling and validation rules for our Finance & Risk stakeholders. You will work on the granular regulatory reporting delivery. You deliver the necessary knowledge and skills to make standard and best products/services for our data consumers. Besides that, you continuously deepen and broaden your knowledge and skills in your area of expertise within your chapter.

Your activities will be in the area of:


• Change & Run bank's data management activities in the field of Finance & Risk.


• Read and understand regulatory requirement.


• Data analysis, data models and validation rules; bridge with Tech and 'Run the bank teams.


• Collect & write the detailed Finance & Risk business data requirements.


• Create use cases which explain the data definitions & present to stakeholders.


• Experienced with data marts and configuring business rules.


• Second-line support and on-boarding activities.


• Developing/maintaining documentation to clarify the working of functionality for end users, such as user manuals and Quick Reference Cards (QRCs)

What we are looking for


• We are looking for an enthusiastic and energetic professional with a passion for data management in a Finance & Risk context.


• Preferably 5 - 7 years experience in the data analysis, Finance and Risk data reconciliation, of which minimum 2 years experience in Finance or Risk Reporting areas.


• You know exactly how to empathies with the needs of your stakeholders and translate this into standard and innovative products.


• You are analytical and take decisions based on data and facts.


• You are self organizing & motivated to solve problems. You take it on & make it happen.


• You are a strong communicator and can present your work in a clear manner.


• You like to work in a multidisciplinary squad (agile, scrum) & help others to be successful.


• You enjoy learning new skills to support the squad in becoming successful.


• You easily adapt to new environments and embrace change.


• You ask for help and feedback and are not afraid to give feedback.

Knowledge:


• Proven knowledge on risk and/or finance processes and banking products.


• Knowledge of and experience with in data management and analyzing large data sets and data quality.


• Sourcing, classifying & onboarding data for Finance and Risk.


• Knowledge of and experience with Change delivery in an agile environment (impact analysis, configuration, testing).


• Experience in Regression and User Acceptance testing.


• You have an university (Bachelor's/Master's) degree. FINANCE COO/DFT Subject Page (Senior) Business Analyst for the Data Foundation Tribe (DFT) 3 of 3 Skills:


• Hands-on experience in data granular reporting


• Excellent working with Microsoft Excel, knowledge on BI.


• Affinity with IT including IT knowledge (Oracle DB, SQL).


• Excellent communication skills in English. Dutch is an asset

Your work environment:

COO Risk & Finance (COORF) focuses on enabling and supporting the primary Risk & Finance capabilities through information management and analytics in the areas of Data Management, Project & Change Management, Operations, User support and Reporting.


• Openness in communication and "can do" mentality are important characteristics of this organization.


• Tribe Data Foundation which consist of approx. 110 employees located in the Netherlands, India, Poland and Romania, is responsible for the Finance & Risk data delivery for analysis, accounting and reporting within the COORF organization & other parts of ING.


• Functionally, you will be working in a Scrum team with primary aim to support data delivery for regulatory reporting.


• Hierarchically, you will be part of the Business Analysis Chapter.

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