Data Business Analyst - Data Warehouse @ING Bank

External

Ing · Expo Business Park

Full-timeHybridToday

AgileRESTSQLStakeholder Management

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About the role

You'll join our team within the Data Warehouse domain, working in a cross-functional Agile environment alongside Data Engineers, Product Owners, Data Modellers and Stakeholders. Our team sits at the intersection of business and technology, translating complex data needs into scalable solutions that power reporting, analytics, and regulatory processes across the organisation. We value ownership, structured thinking, continuous improvement, and pragmatic solutions in a complex, regulated banking environment. Your d ay to d ay Collaborate with business data owners/data stewards to understand their data and the business context ; Deep dive in data request analysis, help the Data User understand the Business Term Glossary and offer guidance to refine the data request; Define and modify Business Terms and Requirements in line with IBM Banking Data Warehouse and ING standards ; Set and manage stakeholders expectations and provide plannings in collaboration with the rest of the squad; Bring the data under governance by recording the data definitions in the data dictionary and maintain them as part of metadata management ; Test data and keep consistency and quality ; Collaborate with the squad members for the implementation process of the data requests; Set requirements for data quality, data lineage, data security, data privacy and other relevant aspects for business terms/data assets ; Coordinate, Train and help junior business analysts in their daily activity. What you bring to the team Good knowledge of bank products and processes ; Excellent problem analyser and ability to identify the optimal solution ; Good knowledge of SQL (medium level ) ; Knowledge and experience with data modelling techniques and with business terms glossaries is a plus ; Excellent communication skills which are essential for stakeholder management ; Good command of English to define business terms ; Ability to encourage the team, to stimulate teamwork and to take responsibility. Ability to guide novices and to demonstrate a clear view of actions related to goals. Ability to suggest and entertain topics to community ; Enthusiastic personality, bringing pleasure and connection with Agile way of working in multidisciplinary teams.

Benefits

Impactful work in a fun and collaborative environmentOpen-concept offices designed for both teamwork and relaxationCorporate events and social gatheringsHybrid way of working with flexible working schedule and short week optionsMonthly budget on Benefit platformExtra annual leave days depending on the total length of working experienceGrowth opportunities through upskilling/ reskilling programs and a variety of learning and development platforms: ING Learning Centre, Udemy, Bookster, as well as through trainings and certificationsPossibility of accessing Internal roles, International Short-Term Assignments or Long-Term AssignmentsContext to make an impact through Sustainability and Corporate Social Responsibility projects.Job Application Safety ReminderWe're seeing an increase in fraudulent job offers. To protect yourself, please:Apply only via official ING platforms. ING uses Workday as its recruitment system.Verify the sender's email - it should only come from @ing.com or @myworkday.com.Know that ING will never request payments or banking details during the recruitment process.How to ApplyClick "Apply" on our careers site and submit your application through Workday. We're excited to meet you!Discover ING Bank RomaniaFlexible schedule

Additional Information

Mission Our mission will be to bridge business and data needs by ensuring that data assets are well-defined, governed, and optimized for business consumption. We are focused on gathering, analyzing and translating business requirements in clear and structured technical specifications that can guide the implementation and reporting squad with the purpose of timely delivery of data requests. Also, using our SQL skills we deep dive to understand and profile our data and provide directly provide reports and insights to our stakeholders.

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