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ING

IT Business Analyst @ING Hubs Romania

ING is hiring an IT Business Analyst @ING Hubs Romania in Bucharest, Romania. Level rates it ; you can apply on Level.

Level's read on this job

  • On Level's scale, this business analyst role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Data Lake, data modeling and business analysis.
  • Level files it as a mid-level role.
  • Level lists 748 other open roles at ING.

AI in this role

Support data governance and data lake implementation as an IT Business Analyst at ING Hubs Romania.

data-lake
data-modelingbusiness-analysisdata-governancefunctional-testing

Discover ING Hubs Romania


ING 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 2000 high-performing engineers, risk, and operations professionals. 


We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from Bucharest.


Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services. 


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?  


Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:


  • At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree

 

The Mission


In 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 day


Even 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 relevant stakeholders from business areas (like Financial Insights, Direct Products, Service and Operations, KYC), you contribute to understanding and clarifying the requirements
  • Draw up conceptual and logical data models (different types) - 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 Lake
  • Create testing scenarios and actively participate in functional testing
  • Safeguarding the consistency and quality of data: create requirements on data quality, data lineage, data privacy, data security, and other relevant aspects of data by recording the data definitions in the data dictionary and maintaining them as part of metadata management
  • Align 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. Actively participating in gathering the requirements for automation of our software processes

 

What you’ll bring to the team

 

 Experience:

  • Strong conceptual and analytical skills
  • Experience with banking industry or financial institutions is a plus
  • Knowledge of and experience within the Credit Risk and Credit Risk modelling areas in the financial industry is nice to have
  • Hands-on experience working with SQL and databases and/or data warehouses’ is expected
  • Knowledge of and experience in data management, data modelling (dimensional) and data warehouse technology is a plus
  • Finance, Credit Risk, Regulatory processes and Operational Risk know-how is a plus
  • Hands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices is a plus
  • Detailed oriented, take it on and make it happen attitude, drive to help others succeed and a knack for always being a step ahead
  • Excellent 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 specifications
  • Experience with Agile methodologies

Tech 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


If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab). 

How we rate this

IT Business Analyst @ING Hubs Romania at ING rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModelingBusiness AnalysisData GovernanceFunctional TestingData Lake

Also common in business analyst jobs at this level

Pay

Typical business analyst job
$98k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

  1. Tell me about a project where data modeling was part of your work. What did you do?
  2. Tell me about a project where business analysis was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where functional testing was part of your work. What did you do?
  5. Walk me through how you've used Data Lake in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Modeling, Business Analysis, Data Governance, Functional Testing, and Data Lake. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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