Data Analyst

at  ING

Do you love to operate in an operational environment? Help to make COO a truly customer focused, people and data organisation! As the data driven mindset is increasingly embedded within ING, there is more need for strong quants to ‘do their thing’ and provide our stakeholders with the right insights and predictions. Will you be our new colleague?

THE TEAM

Within the Operational Performance Team, we model and perform analyses on multiple domains within COO. This includes the Retail and Business Clients Contact Centres, Consumer Loans, Daily Banking, Mortgages, Business Clients Operations and Business Lending. Yearly, these departments handle hundreds of thousands of client applications and contacts. We thrive for an excellent service for our customers within a perfectly streamlined operational organisation.
Our team creates targeted analyses, providing continuous insight to support operational teams to drive customer orientated improvements. A happy customer is our highest priority!
Via this vacancy we are looking for a Data Analyst to strengthen the Operational Performance Team.

HOW TO SUCCEED

We are looking for a pro-active and collaborative colleague who is a true team player and strong in data driven analysis. You have:

• An HBO/WO (Bachelor/Master) education in a quantitative field and/or have proven yourself in this working field;
• 3-5 years of experience with statistical data analysis and data frameworks;
• Familiar with operational bank processes, IT-tooling and service concepts;
• Broad practical experience with techniques on data preparation and analysis (SAS, Python, SQL etc.);
• Experience with dashboard tooling (Cognos, PowerBI etc.);
• Experience with stakeholder management;
• You pro-actively search for improvements and implement them where possible;
• Strong analytical skills and numerical insight, result-oriented with an eye for improvement potential;
• You can communicate fluently in English. Dutch is nice to have.

ABOUT US

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

As a Data Analyst within the Operational Performance Team, you will be responsible for strengthening the data driven way of working within the COO domain. You will develop strong knowledge on the day-to-day processes, build data models and conduct data analysis. You ensure timely and adequate reporting the ING Group, Executive Committee ING Domestic Bank Netherlands, COO NL management and other senior stakeholders. Provide management with a single source of truth to steer on our organisational ambitions and key performance indicators.
Within your role, you are the driver to build data-based insights that support our stakeholders. For example, conduct an analysis on how to increase the productivity of our contact centres, or provide upper management with insights on how to improve our key performance indicators. We are looking for someone who can set priorities between different case studies, create visualisations as support of your analysis and translate the data to qualitative colleagues.

Your key responsibilities will mostly consist of:

• Designing and developing (statistical) deep dive analysis on our operational processes;
• Providing strong visualisations and numerical insights for both periodical projects and day-to-day operations;
• Support with all ING group, Executive Committee ING Domestic Bank Netherlands and COO NL management reporting;
• Identifying functional and non-functional requirements from stakeholders focused on delivering high quality automated data solutions for operations;
• Maintaining day-to-day dashboards and providing answers to ad-hoc data requests;
• Providing analytical support for yearly budgeting of the domains;
• Supporting the development and implementation of sustainable and maintainable data solutions;
• Challenging the current way-of-working and finding opportunities to make real impact;
• You take it on and make it happen! You decide based on facts, data driven analysis and the results they provide.