Your job
As a Senior Data Analyst you are working on 2-3 big projects together with other data analysts in the team. You are responsible for translating stakeholder questions to BI & Analytics solutions, defining requirements and (SQL) source code for the data transformations, build PowerBI dashboards, doing deep dive data analysis, defining self-service BI solutions and presenting results to stakeholders.
You also support other colleagues in the team to improve their skills and supporting with their projects.
With the rest of the team you own and maintain a data platform where we build a business-oriented data layer with data about our customers and our organisation. This data layer is re-used across many use-cases. We are also collaborating with other data teams to develop data products and services such as self-service BI, customer journey analytics and data driven culture.
The business/corporate banking BI & Analytics team is focussed on supporting the digital organisation and the business/corporate banking teams in the bank. The business/corporate banking segment services clients, from medium size organisations to large enterprises. Our deliverables/projects include topics like:
- Performance Management: supporting the business/corporate banking organization with performance management insights to achieve their objectives
- Voice of the Customer program: building selections for NPS/CES surveys, dashboarding, deep dive driver analysis
- Segmentation analysis: analyse customer segments as input to the segment teams, for example as input to proposition development
- Sales process analysis: provide insights about the digital and human interactions with clients as part of the sales process
- Sustainability: provide stakeholders with a better understanding of the progress of supporting our customers in their sustainability shift by combining available data and resources on this topic
- Customer intimacy: provide our stakeholders with insights on both customer and aggregated level to create better, loyal and sustainable relationships with the customer
- Customer journey analytics: dive into the journey that customers follow while interacting with the bank by stitching data from (>10) many source systems in one journey view e.g. combining call, chat(bot), process and customer feedback data