Data Quality Analyst

The team

Within the Strategy & Innovation for SME's part of the bank, the data team is hugely influential for progressing towards a data driven way of innovation. The department firmly believes that data is a key asset in today’s financial world. It is our team’s mission to support decision making by data to ultimately help more SME customers. Within our team we have the objective to better understand data; where it comes from, how it is used, what the quality is. We work together with engineering, credit risk, and other teams to continuously unlock new data sources, and improve and optimise our data landscape. In this way, our wider team can access and use analytics in all aspects of their work.

What you can expect

As a Data (Quality) Analyst we expect you to be the linking pin between business teams that use data to drive their strategy, IT teams that implement applications which both use & produce data, and modelling teams that use data to improve risk models. While working on our data platform, your responsibilities are (1) to understand the business need for data and translating these needs into actionable data requirements and (2) making sure data governance/data management processes are in place to guarantee the data quality is fit for purpose.

Among other things you’ll be responsible for:

• Building & maintaining strong data management processes and a robust data quality framework
• Translate business needs into data requirements based on interactions with business stakeholders
• Data modelling of the data infrastructure and designing data flows (ETL)

What we ask

• 4+ years of experience in data analysis & data modelling
• Strong knowledge of and experience with data governance/data management processes (DAMA-DMBoK)
• Know how to build up & maintain a data quality framework
• Solid understanding of business topics in the financial services industry
• Experience in translating business needs into actionable data requirements
• Knowledge of designing data flows (ETL), designing data models for data warehouses
• A can-do mentality; a keen problem solver with an eagerness to innovate
• Excellent communication & stakeholder management skills

Skillset/Technology stack:

• Data modelling (e.g. relational databases, dimensional modelling, star/snowflake schema)
• SQL
• Collibra (or other data governance tools)
• Power BI & DAX
• AWS (Athena, Glue, S3)
• Azure DevOps

Together we achieve more than alone

Customer focus and collaboration is at the heart of everything we do. Our Strategy & Innovation department brings talented people together to determine the way forward for our financial services and products in the Business Clients realm. The department is divided into several teams that focus on areas like Customer Service, Marketing, Product/Partnership Management, Credit Risk and Data Management.

This is what we offer you

• A gross monthly salary in scale 9/10 (depending on your experience)
• A thirteenth month and holiday pay;
• An Employee Benefit Budget. You decide how to spend this budget. This may include purchasing extra leave days, making extra pension contributions or even receiving a monthly cash payout;
• A personal budget that you can spend on activities related to your personal development and career;
• Flexible working times and location-independent working;
• A pension scheme, to which your contribution is only 3,5% or 5,5%.
  

This is a selection of the terms of employment for a Data (Quality) Analyst based on a 36-hour working week. You can find all terms of employment on rabobank.jobs/en/conditions-of-employment

You and the job application process

Reply to the vacancy for Data (Quality) Analyst:

• Any questions about the job content? Contact: Kim Sen, Credit Risk & Data Management Lead via kim.sen@rabobank.nl
• Any questions about working at Rabobank and the process? Contact: Isabelle.Brust@rabobank.nl
• We will hold the interviews through a video call.
• You can find answers to the most frequently asked questions on rabobank.jobs/en/faq.
• A security check is part of the process.
• We respect your privacy.
  

Everyone is different, and it is exactly those differences that help us become an even better bank. That's why we want to know who you really are!

#LI-IB2