Data Analyst
As a Data Analyst at NN Bank, you play a crucial role in our journey towards a data-driven organization. Together with your team, you work on setting up an advanced Savings, Investing & Banking data lake within Azure using the latest tools such as DeltaLake, ADF, Databricks & PySpark.
Your insights and analyses contribute to increasing customer focus and data-driven actions at NN Bank, and help us realize the greatest customer journey improvements and cost savings.
Are you ready for this challenge? Apply now and become part of our innovative team!
What you are going to do
- Translating requirements and mapping Payments data for Financial Reporting, marketing and business insights
- Creating and improving dashboards and reports
- Supporting Data Engineers in building and testing reports and dashboards
- Evaluating data quality and dashboards and explaining outcomes to end-users
- Working closely with various teams within NN Bank Payments, Finance, Tax & Legal for reporting deliveries to the Dutch Central Bank and the Tax Authorities
- Following NN Bank's Data Governance & Data Quality Management policy
What we offer you
NN invests in an inclusive and inspiring work environment, as well as in future-ready skills and competencies. Our employment conditions are designed to support both today’s needs and tomorrow’s challenges, enabling you to get the best out of yourself. We offer:
- A salary between €4,547 and €6,496 based on a 40‑hour work week
- A 13th month and holiday allowance, paid monthly with your salary
- 27 vacation days based on a full-time workweek, plus one Diversity Day
- A modern pension scheme administered by BeFrank
- Ample training and development opportunities
- An NS Business Card (2nd class) for unlimited travel, including private use. Prefer to travel by car? Mileage reimbursement is available
- Home office allowances for internet and a well-equipped workstation
Who you are
- A completed HBO or WO (Bachelor’s or Master’s) degree in Data Analytics/Data Science, Econometrics, IT or Finance, combined with at least 3 years of relevant work experience, preferably in an international environment
- Knowledge of Azure components such as DeltaLake, ADF and Databricks; experience with CI/CD, Azure DevOps, scripting in Python (PySpark), and Agile methodologies such as DevOps and Scrum
- Strong analytical and logical skills, with extensive experience in writing complex SQL and Python queries and processing structured data
- Proven knowledge and experience with data analysis methods and applying them within business processes
- Strong written and verbal communication skills in English
- Affinity with financial reporting is a plus, including the ability to clearly translate complex analyses into insights for stakeholders at different levels
- A proactive mindset, with attention to detail as well as an overview of the bigger picture and business context; a team-oriented attitude to challenge each other on complex analyses, reporting and advice
- Experience within the banking or mortgage domain is a strong advantage
Who you will work with
The NN Payments domain consists of over 100 colleagues across various teams, including the Payments Data Lake team. This team is responsible for delivering data for Financial Reporting, Marketing and Business Insights. You will work closely with two engineers and a Product Owner.
Within Payments, we strive for constructive collaboration. Our culture is based on teamwork, open communication and ownership. We believe that by Team Up, Speak Up and Step Up, we can build a future-proof organization together.
Payments is an innovative and fast-growing organization, continuously learning how to improve performance in the most efficient way. We regularly reflect on what we do and how we do it, always looking for smarter ways to grow as a team and as professionals.
Any questions?
For questions about the recruitment process, please contact Floor Jutte, Talent Acquisition Specialist via floor.jutte@nn-group.com.
We bieden je
- NS Business card, ook privé te gebruiken
- 27 vakantiedagen en 1 Diversiteitsdag
- 13e maand en vakantiegeld
- Hybride werken
