D
Deutsche Bank
Lead Data Analyst (Foreign Exchange Data)
Skills
SQL QueriesTableauPythonData AnalysisAIGitHubWorkday
2 months ago
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Important information
Contract type:
Permanent
Location:
Field, Uttoxeter ST14 8SG, UK
Work mode:
Onsite
Published on:
29 August 2026
What they need
- Join FX Data Analytics within Global Foreign Exchange as a hands-on Lead Data Analyst leading two to four analysts
- You will turn complex financial and risk data into trusted datasets, controls and Tableau insights for Sales, Trading, Finance, Risk and Controls - from stakeholder discovery and business rules through SQL and Python delivery and support
- You will modernise legacy flows, lead migrations and use AI-assisted workflows every day
- Lead two to four analysts: set priorities, coach delivery and review analysis and code
- Represent analytics as the senior stakeholder to data platform engineers, translating business needs into clear requirements, priorities, acceptance criteria and outcomes
- Design, build and productionise analytical datasets, controls, management information and Tableau dashboards; own their sources, models, business rules, quality, testing, access, lineage and documentation
- Lead modernisation, migration and decommissioning by mapping dependencies, assessing gaps, prioritising delivery and protecting critical consumers
- Remain hands-on in SQL and Python delivery, releases, incident investigation and performance tuning, embedding review, knowledge-sharing and engineering standards- Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
- A committed and responsive approach to data governance, quality, lineage, access controls and collaborative delivery
- Proven use of GitHub Copilot or equivalent Artificial Intelligence-assisted workflows across data analysis, coding, testing, review and documentation
- Strong interpersonal and communication skills, with the ability to collaborate, build trust and connect business stakeholders with data platform engineering teams
- Experience guiding and coaching a small analytics team while remaining closely involved in delivery and supporting shared outcomes
- Expert Structured Query Language skills, strong Python capability and advanced Tableau knowledge, supported by experience delivering controlled, tested and supportable production data products
- Extensive experience delivering trusted financial and risk data products, with an understanding of Foreign Exchange products, trade lifecycles, revenue, risk and client data
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