ING Hubs Poland
Banking
Dataanalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Data analyst at ING Hubs Poland. Skills: Data analysis, Business analysis, Data management. Translate functional requirements into technical solutions. Understand complex data and ETL processes”
Industry & Context.
Problem solver
What They're Looking For.
Must Have
Minimum 2 years of experience in business analysis, data analytics, or data science, Hands-on experience with SQL, Familiar with data management concepts, Familiar with data models and structures
Nice to Have
Experience in Asset and Liability Management or Risk control/modelling, ALM Risk knowledge, Familiarity with any ALM software, Reporting skills in Power BI, Master's degree in econometrics, mathematics, economics, IT, or quantitative study, Experience in Agile (Scrum) methodologies
What You'll Do.
Translate functional requirements into technical solutions
Understand complex data and ETL processes
Support transformation and loading of finance data
Monitor and maintain correctness of data flows
Translate data requests into actionable items
Assist in development of Data Quality controls
Assist in development of new data solutions
Support reporting teams in data mart development
Support reporting teams in reporting solutions
How You'll Work.
Team & Collaboration
Liaise with data teams; Liaise with reporting teams; Liaise with UAT team; Liaise with IT teams; Collaborative environment; International team; Agile teams
Communication Scope
Translate requirements; Liaise with stakeholders
Process & Methodology
Agile, Scrum
Full Job Description
**ING Hubs Poland is hiring!** The expected salary for: senior specialist position: **7 100 - 14 500 PLN** _The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations._ **We are looking for you if you:** * understand and interested in complex data and data structures, * are a communicator and like to liaise with data teams, reporting teams, UAT team and IT teams, * act as the link between stakeholders providing data requirements and developers needing technical specifications, * are someone with a “can-do” mentality who excels in a collaborative environment. You are a problem solver, * enjoy working in an international team and environment, * are proactive and eager to learn, * have strong analytical skills, * have knowledge and interest in ETL and data processes, * have minimum 2 years of experience working in business analysis, data analytics, or data science in the banking sector (preferably ALM side), * have hands-on experience working with SQL is a must-have, * are familiar with data management concepts such as data quality, data lineage, and data reconciliation, * have some intuition of data requirements for ALM software, Risk, or Financial reporting, * have experience in requirement gathering for data feeds, * are familiar with data models and structures. ### **You 'll get extra points for:** * experience in Asset and Liability Management or any Risk control / modelling function, * ALM Risk knowledge, understanding a bank balance sheet, and being able to connect the dots between the data and the ALM reporting outcome, * familiarity with any ALM software (i.e., QRM, Fusion Risk, OneSumX, Moody’s Analytics), * reporting skills, preferably in Power BI, * Master’s degree in econometrics, mathematics, economics, IT, or a similar quantitative study, * experience in Agile (Scrum) methodologies. ### **Your responsibilities:** * working on both the business and IT side of the ALM processes an
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