Data & Analytics Lead – Data Transformation Programs

Responsibilities:

• Lead strategic data analysis across critical data transformation programs, surfacing actionable insights and presenting findings to senior stakeholders through clear, compelling data visualizations.
• Develop and deliver end-to-end analytics initiatives, scoping data requirements, estimating effort, and managing delivery against a defined project plan to solve complex business problems.
• Design and implement scalable workflow solutions that integrate with reporting infrastructure, ensuring long-term reliability and performance across the business.
• Partner with cross-functional teams to map current-state processes, identify optimization opportunities, and build target operating models that improve efficiency and reduce cost.
• Lead the full system change lifecycle from requirements gathering through to implementation, providing ongoing operational support and user training to business teams.
• Communicate project status, risks, and outcomes clearly and consistently to all stakeholders, including senior leadership, ensuring full visibility of progress and mitigation strategies.
• Assess the business implications of technology decisions and proactively identify, escalate, and manage risks to protect delivery timelines and organizational objectives.

Required Qualifications & Skills:

• 6+ years of hands-on experience applying statistical modelling techniques to large, complex datasets in a professional environment.
• Expert-level proficiency in Excel and Power Query, with the ability to build sophisticated models, automate data workflows, and deliver high-quality analysis at pace.
• Expert-level proficiency in Python, applied to data manipulation, statistical analysis, and the development of scalable, repeatable analytical processes.
• Demonstrated ability to synthesize large volumes of data rapidly to build Business Intelligence layers, generate insights, and establish repeatable analytical processes.
• Experience leading process improvement or project management initiatives, with the ability to independently define scope, manage delivery, and drive outcomes.
• Strong capability to conduct business process modelling, workflow analysis, and requirements gathering across multiple business sectors simultaneously.
• Effective communicator with the ability to translate complex analytical findings into clear, concise messaging for both technical and non-technical audiences, including senior management.
• Ability to navigate a matrixed organization, influencing stakeholders and negotiating resources across teams to keep programs on track.
• Bachelor's/University degree or equivalent experience
• MBA or advanced degree in Information Systems, Business Analysis, Computer Science, or a related discipline is an advantage

What We Offer:

Joining Citi means becoming part of a global organization where your analytical expertise will directly shape the outcomes of high-impact transformation programs. This role offers wide-ranging exposure across business lines, program groups, and strategic initiatives — giving you the breadth of experience to accelerate your career at scale.

• Broad exposure to multiple business lines, program groups, and enterprise-wide strategic initiatives across a leading global bank.
• Hybrid working model with 3 days in the office and 2 days working remotely, supporting a sustainable work-life balance.
• Significant opportunity to solve complex, data-driven problems autonomously and drive continuous improvement in analytical workflows and toolsets.
• A collaborative, performance-driven environment where your insights directly influence senior decision-making and business outcomes.
• Access to learning and development resources to deepen your technical expertise and grow your career within a global financial institution.
• Competitive compensation and financial wellbeing support, alongside a comprehensive benefits package.

Apply now to bring your data science expertise to a role where your analysis will power transformation at a global scale.