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SAS VA & BI developer for Data Lineage - ABN AMRO Bank

Location: Amsterdam
Employment: Full-time
Finance and Risk are developing at a rapid pace. Technology, external regulation and internal steering offer numerous new opportunities & challenges. Data Management has taken off and all eyes are on the new data governance and the way we structure our data requirements.

We are looking for a

SAS VA & BI developer for Data Lineage

At a glance

Finance FA (Financial Accounting) Reporting is the biggest data consumer of the bank. The way this data flows through the bank is what we call lineage. The physical flow is extremely manifold and complex. However, that does not matter, because we have you. You understand the flow and you are able to make this visible in very simple reports that structure this complexity and filter out all the things that are part of the lineage, but not that important.

Do you want to be at the core of the data management framework? At the centre of the regulatory requirements? At the top of the data lineage capabilities and use? Are you enthusiastic about data lineage? Do you know how to work with SAS tooling (BI, Lineage, Viya) and do you like to make complex things very simple and transparent? Then you really want to become the new Finance SAS Visual analytics (VA) & business intelligence (BI) developer!

Your job

The SAS Visual analytics (VA) & business intelligence (BI) developer, will play a role in implementing SAS technical data lineage solution within the FRAAI (Finance & Risk Architecture Alignment Initiative)  program. This program aims to implement the integrated Wolters Kluwer and SAS solution for finance and risk group functions.  Lineage is a part of this solution.

ABN AMRO bank, as a financial institution, must comply with PERDARR (BCBS239) regulation. Data lineage, both business and technical, is one of the means to comply with this regulation. Furthermore, in ABN AMRO, we recognize that data lineage supports other business capabilities and business users to perform their daily operations.

Metadata lineage covers the full scope of the solution environment, from sourcing to regulatory reporting. The metadata lineage so far has been implemented. Now we have a challenging task: How to bring metadata lineage into our daily business operations. The data lineage team focuses on building data lineage analytical reports in SAS Visual Analytics to reach this goal. In simple terms: We try to create very easy to understand reports, that show what data is used where.

The SAS Visual Analytics and BI developer is responsible for:

  • Gathering business requirements related to the usage of metadata lineage
  • Translating these requirements into user-friendly analytical reports
  • Realizing technical specifications into technical solutions: data lineage analytical reports
  • Testing, and maintaining metadata reports within SAS VA
  • Communicating with SAS and WK teams on metadata related topics
  • Training business users in the use of data lineage and data lineage reports

Working environment

Data Management FA is a small team of highly valued professionals, positioned within Finance. These professionals are involved in a number of Data Management knowledge areas, such as Data Quality issue Management, Dataflow and Processes, Data Lineage, Data Profiling and Monitoring and Data Modelling and the like.

Every employee has his / her own specialism, but also spends some time in other knowledge areas to help, build relationships and grow.

We take pride in setting high goals and aiming for the stars. We create a safe environment, where we help each other, stand-in for each other and give trust. We do not mind if a goal is not reached, as long as we can be proud of the part we did achieve. We are not afraid to fail, but are very transparent about what we will and will not deliver. We have humour, try to be more than just colleagues and try to take ourselves not too seriously.

On the other hand, we will not back away from a good discussion, as long as this is on content or process and not personal.

Within the department you are managed on WHAT you should achieve. HOW you do that, is something you can determine for yourself, within the boundaries of the rules of governance and risk. This setting gives you great freedom. With great freedom comes great responsibility and the need to set your own goals and then try to reach them.

Your profile

  • You are a well educated, experienced professional, that is internally motivated. You like a challenge and you want to be on top of things. You want to be a part of something bigger and are willing to learn about data, data lineage and reporting. You are not only interested in the use of data itself, but the inner workings of how to get to good data and to make sure data is being used correctly for the bank to achieve their goals.
  • You have a proven track record in data lineage and / or BI tooling, preferably in a Banking environment, and ideally in Finance and / or Risk. Most importantly, you have an internal drive and are perfectionist; you want to make sure that at every moment, you have the answer to the question: Where does this data come from and where does it go to…
  • Technical knowledge: Hands on experience in Basic ETL and data preparation via SAS Base programming and / or SQL Programming, Knowledge of PERDARR, Minimum 2-year practical experience with metadata lineage and metadata lineage tooling, Report development using SAS Visual Analytics and SAS BI Dashboard.
  • Professional experience level and skills: Knowledge and experience with PERDARR (BCBS 239) requirements, Business Intelligence design and development experience, Minimum 2 years of development experience, Experience with building MI and BI solutions, preferably with SAS analytics, Able to administer the SAS Visual Analytics and SAS Business Intelligence Environment via SAS Management Console, Business analysis skills to transform business requirements into technical solutions.
  • Education and experience level: BS Degree in Computer Science/Information Technology, Computer Engineering or any 4-year IT related degree.
  • Professional experience level and skills: Knowledge on Banking industry is a plus.

We are offering

  • A salary in Hay grade 9, with the opportunity to grow
  • The opportunity to be the best you can be, work flexible hours and flexible locations and lots of room to grow both personally and professionally
  • The opportunity to pro-actively work on your vitality and fitness
  • A personal development budget of EUR 1.000 per year
  • An annual public transportation pass or travel budget, depending on the function
  • A solid pension plan

Equal opportunities for all

The success of our organisation depends on the quality of our people and the ideas that they have. Truly surprising insights and innovative solutions for our clients result from an interplay of cultures, knowledge and experience. Diversity is therefore extremely important to our organisation. To ensure that everyone at ABN AMRO can develop their talents, we encourage an inclusive culture in which all colleagues feel engaged and appreciated.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. In addition, a recruitment agency can only submit a resume when invited by a Talent Acquisition Specialist to join the search for a right candidate. All unsolicited resumes sent to us will be considered property of ABN AMRO BANK N.V. In this case, ABN AMRO will not be held liable to pay a placement fee.

Location:

Amsterdam

Information and application:

Apply:

Please send your application for SAS VA & BI developer for Data Lineage at ABN AMRO Bank in Amsterdam including your CV via our website.

Job code:

54850

Job posted

19 augustus 2021
Apply Now

More information:

If you are interested, please contact Geert Tacken, Head of Data Management Finance FA Reporting, geert.tacken@nl.abnamro.com or 06 – 511 90 835.

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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Nienke Smit
Nienke Smit
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Pieter Lammers
Pieter Lammers
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