Data Solutions Analyst: Banking & Markets Transformation

Harvey Nash Group; Belfast City District; On-site; GBP 70,000 - 110,000; Full time

Job summary

Citi is seeking an experienced data analytics professional to join the Markets Program Execution & Transformation team. The role spans requirements gathering, data lineage focus, and governance across global markets, delivering robust documentation and scalable data solutions.

The successful candidate will interface with business stakeholders, data engineers, and technology teams to ensure high-quality, impactful analytics and governance across the data lifecycle.

Qualifications

• Strong and proven track record in data and business analytics is essential.
• Experience in Capital Markets and Technology with focus on data lineage and optimisation.
• Experience scoping, developing and prioritising plans for strategic initiatives.
• Excellent verbal and written communication skills, to effectively produce reports, documentation, and communicate with senior management. Ability to seamlessly communicate complex technical issues to non-technical colleagues.
• Ability to drive change to business practices by working effectively across a global organization and understand different perspectives.
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
• Demonstrated analytical skills with follow-up and problem solving capability.

Responsibilities

• Conduct in-depth requirements gathering and apply reverse engineering techniques to deconstruct and understand legacy processes, workflows, and data flows.
• Identify gaps, dependencies, and improvement opportunities to inform the design of future-state solutions across Markets use cases.
• Review, critically assess, and summarise existing technical and business documentation to extract key insights and ensure alignment with current business objectives.
• Produce high-quality, structured documentation including BRDs, process maps, and functional specifications to support solution design, stakeholder sign-off, and delivery governance.
• Design, write, and execute complex SQL scripts to extract, transform, and validate large datasets across multiple data sources, ensuring data accuracy and integrity in support of strategic business decisions.
• Lead and contribute to strategic data sourcing analysis in relation to diverse analytical use cases across Markets, ensuring solutions are scalable, reusable, and aligned with cross-functional business objectives.
• Collaborate closely with business stakeholders, data engineers, and technology teams across Markets to elicit, document, and prioritise requirements, translating them into clear analytical frameworks and technical specifications.
• Assess and validate data quality throughout the pipeline lifecycle, partnering with data governance teams to ensure compliance with data standards, policies, and regulatory requirements relevant to Markets data consumption.
• Present clear, concise reports and presentations that communicate key findings and strategic insights to both technical and non-technical audiences at various levels of seniority.
• Proactively identify opportunities to enhance existing analytical processes, tooling, and methodologies, driving a culture of continuous improvement and innovation in how data pipelines are monitored, consumed, and leveraged across Markets use cases.

Skills

Data analytics

Business analytics

SQL scripting

Requirements gathering

Data quality

Stakeholder communication

Documentation

Data governance

Cross-functional collaboration

Problem solving

Education

Bachelor's/University degree

Master's degree preferred

Job description

Citi is seeking an experienced data analytics professional to join the Markets Program Execution & Transformation team. The role spans requirements gathering, data lineage focus, and governance across global markets, delivering robust documentation and scalable data solutions.

The successful candidate will interface with business stakeholders, data engineers, and technology teams to ensure high-quality, impactful analytics and governance across the data lifecycle.