Tableau & Data Specialist – FX Data & Analytics, AVP​/VP

Tableau & Data Specialist – FX Data & Analytics, AVP/VP

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data visualisation, reporting, data governance and analytics to Citi’s Global FX Team.

By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

The FX Data & Analytics team, within Citi’s FX Sales and Trading organisation, seeks a highly driven and motivated Tableau & Data Specialist. The team provides data, analytics, and tooling to Citi FX Management, Sales, and Trading globally and is responsible for defining and executing the overall data strategy for FX.

The successful candidate will be responsible for designing and delivering high‑quality dashboards and reports in Tableau, curating and governing the underlying data that powers them, and championing a "data as a product" mindset across the team. You will have the opportunity to contribute to building modern Gen AI‑powered capabilities and integrating them into our data reporting. The role will benefit from close interaction with existing Tableau and data experts within the team and a wide range of stakeholders across Sales, Trading, and Technology.

We are looking for a proactive self‑starter with a practical and pragmatic attitude, the ability to build consensus, and work both collaboratively and independently in a dynamic environment.

• Design, develop, and maintain production‑grade Tableau dashboards and reports that deliver clear, actionable insights to FX Management, Sales, and Trading stakeholders globally.
• Collaborate with stakeholders to understand data and reporting needs
  , design scalable solutions, and deliver them in partnership with existing team members and Technology.
• Curate, cleanse, and prepare the datasets underpinning FX reporting and analytics, ensuring data is accurate, consistent, and fit for purpose, working with technologies such as SQL, KDB, and Python.
• Contribute to building and evolving Gen AI‑powered capabilities within the FX reporting and analytics ecosystem, including NL2
  
  SQL/KDB functionality, and automated commentary and analysis.
• Champion and enforce data and reporting governance best practices across the team’s reporting estate, including automated testing frameworks and data quality controls to validate the accuracy and integrity of reports and underlying data.
• Integrate reporting and data workflows into CI/CD pipelines
  , enabling automated deployment, version control, and reliable release management of Tableau content and associated data assets.
• Embrace and promote a "data as a product" mindset – treating reports, datasets, and analytics outputs as products with defined owners, consumers, SLAs, and quality standards, actively contributing to a self‑serve analytics capability.
• Contribute to shaping and executing the overall data and reporting strategy for FX in collaboration with the existing team and senior stakeholders, with a focus on consolidation, automation, and scalability of our reporting and analytics.

• Proven experience designing and developing complex, production‑grade Tableau dashboards and reports for business stakeholders in a fast‑paced environment. Familiarity with other solutions for data visualisation and reporting is a plus.
• Strong data analysis skills
  , with the ability to interrogate large and complex datasets to surface meaningful insights.
• Proficiency in SQL and Python for data querying, transformation, and validation. Experience with other languages and technologies (e.g., KDB/q) is a plus.
• Ideally, familiarity with Tab Py and Gen AI integrations in the context of data visualisation and reporting, alongside a good general understanding of Gen AI capabilities and solutions.
• Demonstrated experience in data curation
  , data quality management
  , and data governance
  , including data validation and reconciliation processes, data lineage, metadata management, access controls, and documentation standards.
• Ideally, experience of…