Junior/Medior Data Analyst – Digital, Assisted & Customer Interactions

ACT (Amsterdam - Acanthus)

ING is looking for a Data Analyst – Digital, Assisted & Customer Interactions 

 

Who are we?  

At ING, we aim to become the best mobile-led bank on the continent. The Tribe Digital, Assisted & Customer Interactions is responsible for achieving the digital sales objectives and for further developing all digital interactions with customers. With over 70 data analysts and scientist, we ensure to accelerate the transition towards becoming a fully data-driven organization. We work in multi-disciplinary teams, while being allocated as data consultants both internally as to other departments.  

 

Who are we looking for? 

In order to increase our analytical capabilities, we’re looking for a passionate data analyst who wants to improve service and product offerings. By understanding our customer’s actions, behaviours and products you deliver high impact and tangible insights. As a data analyst: 

  • You are passionate about making impact, based on data  

  • You generate extremely personal and relevant customer interactions, by doing smart analyses  

  • You have a broad interest in data: Collecting, analysing, experimenting and visualizing it. 

  • You identify new data and analytics related opportunities 

  • You contribute to maintain and further improve the fact-based culture within ING 

Are you addicted to data and ready to make impact? Do you enjoy solving problems and eager to develop yourself? Then we are looking for you! 

 

Your competencies and experience 

  • A master’s degree in the field of analytics, mathematics or econometrics 

  • You have experience with querying languages (e.g., SQL, SAS), and preferably also with dashboarding tools (e.g., Cognos, PowerBI) 

  • You are analytically strong and have experience in making analyses and sharing results with impact 

  • You are able to transform data into insights, and present them in an understandable way 

  • You have a do-it-yourself mentality, and you like to quickly learn and apply new techniques 

  • You are customer-oriented and have experience in using customer and other data to substantiate your decisions 

  • You can manage stakeholders without any problems, at different levels, both data lovers and non data experts 

  • You actively ask for help and feedback and you dare to give feedback 

  • Experience with the agile way of working is beneficial for this role  
     

What do we offer you? 

We offer a full-time 36-hour position in a challenging environment. You will have a chance to work at a modern Agile organization with smart and fun colleagues and great opportunities to develop both your technical and personal competencies. 

 

The benefits of working at ING include: 

  • An excellent salary that matches your qualities and experience 

  • A 36-hour working week  

  • 24-27 vacation days depending on the contract 

  • A 13th month and 8% holiday allowance 

  • Contribution Individual Savings (BIS), 3.5% of your gross annual salary 

  • Flexible working hours and working from home (hybrid mode)  

  • The Mobility Card. You choose your mode of transport for commuting per day. Freedom and flexibility in mobility. 

  • Pension plan 

  • Personal growth and challenging work with endless possibilities 

  • An informal working environment with innovative colleagues 

 

Are you excited? Then click on the apply button 

Let us know why you are who we are looking for: how do you use your experience to make ING even better? We would like to receive your CV and motivation letter. 

 

More information? 

Please contact Jeroen Maassen van den Brink (jeroen.maassen.van.den.brink@ing.com) for your questions. 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Econometrics Mathematics Power BI SAS SQL

Perks/benefits: Career development Flex hours Flex vacation

Region: Europe
Country: Netherlands
Job stats:  17  5  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.