Senior IT Analyst

Nordea Bank Abp, Filial i Sverige / Datajobb / Stockholm
2023-05-10
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Nordea is a leading Nordic universal bank. We are helping our customers realise their dreams and aspirations - and we have done that for 200 years. We want to make a real difference for our customers and the communities where we operate - by being a strong and personal financial partner.

Job ID: 11982
Data Analyst, IT Analyst, BI Specialist, Data Modeller, Data Specialist
We are now looking for candidates to perform data analysis and transform data models. You will be working as an interface between business and IT to help translate the business requirements into IT mappings, as well as design data integrations.
At Nordea, we know our customers' needs are changing - and we're deeply committed to meeting them with the financial solutions of tomorrow. We're creating an agile environment where we're harnessing the power of technology - one where you can make an impact. So bring your skills, ideas and unique background. With us, you'll find plenty of opportunities to grow and make your mark on something bigger.
About this opportunity
Welcome to the IT Analysis Data Warehouse Design team. We provide data platform experts to a variety of internal projects in a capability based model. You will be allocated to a project in credit technology where we are working to transform the bank's credit systems. We specialize in data integration, data analysis, data modelling, and data architecture. As IT Analyst you will play a crucial role in project development lifecycle. The data warehouses you will work on are primarily built in Snowflake, Teradata, or Oracle. Your role as IT Analyst will help us greatly in understanding the information available to us and also help the technical team in building optimal solutions.
What you'll be doing:
* Performing complex data analysis to help IT clarify requirements towards business and test use cases.
* Identifying data gaps and mapping source data to target data models in the most optimal way.
* Acting as technical SME and helping IT development teams in writing long-lasting jobs.
* Design, optimize, and improve ETL/BI frameworks.

You'll join an international team without boundaries. We are spread across 4 countries with diverse backgrounds and one thing in common: Passion for data. The role is based in Stockholm.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best- and that we imagine you share with us.
To succeed in this role, we believe that you:
* Must be very good in interpersonal communications and must have a command over English language.
* Have passion for IT analysis and problem solving.
* Are willing to work in fast-paced cross-border virtual teams and open to traveling if needed.

Your experience and background:
* A degree in Computer Science or related field.
* At least 5 years experience in data-related IT Development, preferably in multinational teams.
* Understanding of Data Warehousing industry standards.
* Understanding of ETL/BI/Data Analytics/Data Modelling processes.
* Understanding of Information Oriented System Integration.
* Experience in writing SQL.
* Comfortable in Agile ways of working.

If this sounds like you, get in touch!
Next steps

At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
For candidates in Sweden only - For union information, please contact finansforbundet@nordea.se or SACONordea@nordea.com.
We reserve the right to reply only to selected applications.

Ersättning
Undefined

Så ansöker du
Sista dag att ansöka är 2023-05-20
Klicka på denna länk för att göra din ansökan

Arbetsgivarens referens
Arbetsgivarens referens för detta jobb är "11982-41577491".

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Nordea Bank Abp, Filial i Sverige (org.nr 516411-1683)

Arbetsplats
Nordea

Kontakt
PRS Team
00000000

Jobbnummer
7759080

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