Related skills
looker sql python hadoop airflow📋 Description
- Build and scale the foundation of Enterprise Risk’s data capabilities.
- Develop, optimize and maintain Looker BI infra with SQL and Python.
- Create scalable risk-management data solutions ensuring accuracy and accessibility.
- Automate manual risk assessments to improve efficiency.
- Partner with Enterprise Risk teams to understand needs and simplify complexity.
- Collaborate with other Second Line Data teams to apply learnings.
- Champion data governance, integrity, security, and access controls.
🎯 Requirements
- 5+ years in technical data analyst/BI roles.
- Proficient in Python, SQL, PySpark; BI tools like Looker; Spark/Hadoop/Git/Airflow a plus.
- Thrives in a fast-paced, tech-driven environment with shifting priorities.
- Strong ownership, bias for action, and results-driven mindset.
- Clear communicator with diverse internal stakeholders.
- Self-motivated, proactive, detail-oriented, scalable problem-solver.
- Translates complex concepts for technical and non-technical audiences.
- Experience with risk management, financial data, and banking is a plus.
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