Technical Business Analyst - Data Management Expert II @ING Hubs Romania in Bucuresti

Discover ING Hubs RomaniaING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 1700 high-performing engineers, risk, and operations professionals.We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.Our tech capabilities remain the core of our business, with more than 1500 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.For us, impact isn't a perk. It's the driver of our work.We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?The MissionIn your role you will support the organization in achieving a well governed data lake that ensures data availability, common understanding of business terms, impeccable data quality, traceable and controlled data in line with regulations. In other words, an ambitious implementation based on leading technology.Your day to dayEven if you’ll start your day from the comfort of your home or drink your morning coffee in our office’s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:Closely collaborate with stakeholders to:Together with stakeholders from Market Risk, Credit Risk Modelling and data stewards from business departments, you determine the requirements regarding the required data for the model, the required quality of the data and other relevant aspects, which will enable you to analyze and design the rating calculation engines based on data from our data lake.Draw up conceptional, logical and dimensional data models - you are a sparring partner for engineers for the translation of these models to the physical model.Create detailed specifications that DevOps engineers will use to source and structure data into the Data LakeCreate testing scenarios and actively participate in data models testingSafeguarding the consistency and quality of the data : create requirements on data quality, data lineage, data privacy, data security, and other relevant aspects of the data by recording the data definitions in the data dictionary and maintaining them as part of metadata managementAlign with the architects on the data lake design and ensure the implementation of the new solution is done according to the data lake target architecture.Continuously take initiative to improve the way of working and the collaboration within your team and stakeholders Together with the stakeholders you gather requirements for automation of our software processes.What you’ll bring to the teamExperience:Strong conceptual and analytical skillsExperience with banking industry or financial institutions is expectedKnowledge of and experience within the Credit Risk and Credit Risk modelling areas in the financial industry is a plus.Hands-on experience working with SQL and databases and/or data warehouses’ is expectedKnowledge of and experience in data management, data modelling (dimensional) and data warehouse technology is a plusFinance, Credit Risk, Regulatory processes and Operational Risk know-how is a plusHands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices is a plusDetailed oriented, take it on and make it happen attitude, drive to help others succeed and a knack for always being a step aheadExcellent communication skills, both verbally and in writing, to be able to align with various stakeholders on different levels.· Experience in requirements gathering and writing technical and functional specificationsExperience with Agile methodologiesTech stack/ knowledge:Mandatory: ability to use SQL for medium complexity queries, good understanding of data base concepts.Nice have: understanding and ability to apply data modeling concepts and techniques.Foreign languages: English (advanced).Education: nice to have Bachelor’s Degree (or higher) in an IT related field.