Job Overview
The Data Engineer will be accountable for producing analytics and insights which deliver material efficiency, risk and customer experience benefits. The incumbent will be accountable for the end-to-end development of analytics including requirements gathering, sourcing and integrating data, building analytical models, publishing insights and data visualization as well as the ongoing maintenance and optimization of these assets.
The role works with, and supports Senior Management, Tribes and Process Leaders to execute a data driven optimization strategy for business decisioning.
Key Responsibilities
Develop reporting & analytics which aim to use reporting, monitoring and predictive analytics to optimise business performance
Use complex data and tools to understand all aspects of process performance and explain performance trends to senior stakeholders and business partners
Recommend process improvements to senior stakeholders
Utilise best practice data visualisation techniques to powerfully convey insights and facilitate data discovery
Drive a culture of continuous improvement and innovation within business units to improve service, reduce costs and manage risk within appetite
Key Capabilities/Experience
2+ years of work experience in a data-related position.
For a Senior role: 5+ years of work experience in a data-related position within a banking team, working with business and technical experts.
Strong experience in processing data for BI purposes: exploring and processing data, data modelling, data warehouses, data quality and analysis.
Minimum Qualifications
Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, and data management is a strong plus.
Experience in relational database & data warehouse.
Proficiency in querying languages (e.g. SQL, SAS) or other data mining and manipulation tools
Extensive experience using data visualisation tools in creating storytelling dashboards and reports specifically PowerBI and Cognos
Experience in building predictive analytical models (e.g. Python) is a plus.
Strong communication skills
Ability to operate at own initiative with a pro-active attitude in line with bank policy
Effective interpersonal skills
Strong organizational, analytical and problem-solving skills
Top Skills
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
