Data Analytics Lead — Transformation Programs (Hybrid)

Citi; Jacksonville (TX); Hybrid; USD 114,000 - 171,000; Full time

Benefits offered by this job

Hybrid work model

Broad exposure

Learning resources

Career growth

Competitive compensation

Job summary

Citi in Jacksonville, FL is seeking a Data Science & Analytics Lead to drive strategic data analysis and deliver scalable intelligence solutions across transformation programs. You will act as a technical authority translating complex data into clear insights that shape business decisions and performance.

Responsibilities include leading analytics initiatives, designing scalable workflows, partnering with cross-functional teams, and presenting findings to senior stakeholders.

Qualifications

• 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

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, elevate, and manage risks to protect delivery timelines and organizational objectives.

Skills

Excel & Power Query

Python

BI & data visualization

Process improvement

Stakeholder communication

Cross-functional leadership

Matrixed org navigation

Bachelor's degree

MBA or advanced degree

Education

Bachelor's degree

MBA or advanced degree

Tools

Excel

Power Query

Job description

Citi in Jacksonville, FL is seeking a Data Science & Analytics Lead to drive strategic data analysis and deliver scalable intelligence solutions across transformation programs. You will act as a technical authority translating complex data into clear insights that shape business decisions and performance.

Responsibilities include leading analytics initiatives, designing scalable workflows, partnering with cross-functional teams, and presenting findings to senior stakeholders.