If you enjoy combining data, processes and real business impact, this role will give you exactly that balance. You won't just build reports—you'll help shape how Operations understands performance, identifies improvement opportunities and makes decisions based on data. You'll work closely with Operations and IT, translating business needs into clear requirements, building meaningful KPIs and contributing to process improvement initiatives. This is a role where your analytical work directly influences efficiency, service quality and outcomes.
You'll be part of a company with the stability of a leading financial services group, combined with a people‐centric culture, versátil working and genuine opportunities to grow your skills in data, analytics and operations.
Real impact through data – You will help define and standardise operational KPIs that are actually used to make decisions around SLAs, capacity and productivity. End‐to‐end visibility of operations – You'll gain a deep understanding of operational processes, working across functions and collaborating with SMEs and IT teams.
Hands‐on development in SQL and Power BI – You'll actively use SQL for data extraction and validation, and Power BI to build and maintain dashboards—strengthening practical, in‐demand skills.
A flexible and supportive environment – You'll work in a hybrid model with a team that values clarity, collaboration and professional growth, giving you space to learn and develop at your own pace.
You'll build on your SQL and Power BI knowledge while working closely with more experienced colleagues.
It's a hybrid role. You'll need to understand business processes while using data and tools to support analysis and performance tracking.
Experience (1–3 years) in analysis, operations or reporting – provides foundation to understand business needs and translate them into structured analysis and outputs.
Working knowledge of SQL – use it to extract, reconcile and validate data; Experience with Power BI or
📌 Data Analyst SQL (Madrid)
🏢 NATIONALE – NEDERLANDEN
📍 Madrid
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