The Senior/Lead Data Analyst will rebuild and deliver analytics in Global Markets using strategic internal data assets. The role focuses on developing an internal FX and FI analytics solution within Amazon QuickSight, ensuring strict adherence to design and building documentation. The role also includes lead-level ownership of solution design, stakeholder engagement, data quality assurance, and delivery oversight, acting as a bridge between the delivery team and Head of Analytics. Key Responsibilities Design, build, and deliver internal analytics solutions in Quick Sight. Ensure data quality, integrity, and accuracy across Global Markets analytics. Lead solution design and oversee delivery projects. Engage with senior stakeholders to understand requirements and provide actionable insights. Support broader analytics initiatives, standards, and priorities across the organization. Actively participate in continuous improvement of analytics processes. Required Qualifications & Experience Education Bachelor's degree in data science, Computer Science, IT, Finance, or a related field. Experience 5-10 years in data analytics, machine learning, and quantitative analysis. Experience with complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems). Strong understanding of financial products, capital markets, derivatives, and treasury operations. Hands‑on experience with Python and data visualization tools. 5+ years experience working within Global Markets. Skills Matrix Soft Skills Strong analytical and problem‑solving abilities Excellent communication and interpersonal skills Ability to manage multiple priorities with attention to detail Proactive, self‑motivated, and able to work independently and collaboratively Pre‑Screening Question Does the candidate have experience in Global Markets? Candidate Response Options 1-2 years 2-4 years 5-6 years 6+ years Skills global markets Data Analytics Machine Learning quantitative analysis Senior Stakeholder Engagement Foundational Technologies (SQL, Python, AWS, Quick Sight) Ticketing Systems (Azure DevOps, ServiceNow) Change Management Tools Test Management Tools (Qmetry) Deep Understanding of Financial Products High‑Frequency Data Techniques #J-18808-Ljbffr