Analytics Engineer

Analytics Engineer Opportunity

Summary:

Join the Data & Analytics department as an Analytics Engineer and turn data into actionable insights!

Job Description:

What will you do?

This role will position you between business and engineering! Collaborate with our Risk Modelling and Risk Reporting teams to implement complex logic in DBT, design and optimize data pipelines, and ensure data quality. With your expertise in DBT, SQL, Python, and data warehousing, you'll drive our data strategy forward. If you're detail-oriented, a problem-solver, and eager to innovate in the financial sector, apply now!

We are looking for a Medior Analytics Engineer to join our team. The ideal candidate will have a strong background in analytics and the ability to implement complex logic in DBT (Data Build Tool) and Python. In this role, you will work closely with the business as part of the Risk-spoke, a multidisciplinary team of experts from the Data & Analytics department and business representatives.

You will help us transition legacy systems to NIBC's centralized cloud data platform. This is not merely a migration; we enable our business to leverage the platform to create their own data products. You will be there to help them, with excellent communication skills, defining user requirements, and assisting with hands-on implementation in our cloud platform. With every use case you deliver, you ensure value is delivered to and with the business counterpart. You are the expert we rely on to build robust solutions, consider data quality, and leverage your expertise to model, test, and document data.

Key Responsibilities:

• Business Analysis: Collaborate with business stakeholders to define user requirements and translate them into technical specifications;
• Implementation: Implement solutions directly within the cloud platform, ensuring they meet business needs and technical standards;
• Data Quality Assurance: Ensure high data quality by building robust solutions, conducting thorough testing, and maintaining documentation;
• Collaboration: Work closely with the business domain, IT experts, and your own colleagues of the Data & Analytics department;
• Documentation: Maintain comprehensive documentation of data models, transformations, and business logic;
• Continuous Improvement: Stay up-to-date with industry trends and best practices in data modelling, DBT and analytics.

Your team

We created the data & analytics team to enable our business to deliver high quality data products using a modern cloud data platform. The mission of this technology driven department is to ensure that data can be sourced, ingested, integrated, and consumed through well designed, automated, and simple to use services and frameworks. The risk spoke is an agile team that works in close cooperation with Risk Management departments.

NIBC as an IT employer

NIBC IT consists of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future.

NIBC as organization

Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can-do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions.

What’s in it for you?

NIBC provides an ambitious environment where together we strive to create a fantastic workplace in which you feel safe and challenged to be the best version of yourself. This is in line with Professional, Adaptive, Collaborative and Entrepreneurial, since you are in the lead of setting the PACE of your career at NIBC. In addition you receive a competitive salary, plus:

• Several ways to support your development personally and professionally, ao: personal development budget, to spend at your own discretion, professional budget provided by your manager, to develop yourself in your work and an In-house learning offering;
• NIBC embraces the Hybrid way of Working. This means that we support working from home as well as encourage our colleagues to come to the office. NIBC's guideline is to spend at least half of the working time at the office;
• Travel expenses or NS Business Card 1st class;
• 32 vacation days (which do not have to be registered);
• Excellent pension scheme (26% NIBC contribution);
• A voucher to improve your home office;
• The opportunity to take ownership and show initiative in your role. We are always open to new ideas, and encourage to use your voice;
• The nature of our Grow to Make a Difference program enables you to be in charge of your own development;
• Two staff associations: YoungNIBC and MyLeisure;
• Vitality program, annual company-wide sports & leisure days;
• Monthly internet allowance;
• Laptop and a company phone;
• Excellent facilities at the office (Coffeecorner, Restaurant, Exchange bar);
• Last but not least, a fun workplace in which diversity and inclusion is valued.

What do you bring?

• Experience: 5+ years as an Analytics Engineer or business analyst with a focus on data integration;
• Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field from a recognized university;
• Proficiency in DBT: Ability to implement complex logic and workflows using DBT;
• Proven experience in writing production grade Python code and implementing models;
• Cloud & Data Platforms: Strong familiarity with cloud data platforms (Azure, AWS, or Google Cloud), Power BI, data lakes, and modern data architectures;
• Communication: Excellent communication, negotiation, and stakeholder management skills, able to bridge the gap between technical and business teams;
• Experience with risk or banking-specific regulations is an advantage;
• Experience with MATLAB applications and operationalizing risk models is a pre.