Senior Data Analyst - Finance, BI & Digital Transf
Executive Placements · North Riding
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Start free — we apply for you →We are seeking an experienced Senior Data Analyst to lead the analysis and solution-design phases of digital transformation initiatives across Finance and IT.
The role is responsible for understanding existing financial processes, systems, data flows, reporting environments and business intelligence capabilities, and translating these into clearly defined future-state solutions.
The successful candidate will work closely with Finance stakeholders, business users, data modellers, developers, BI teams, project managers and Scrum Masters to design and implement accurate, scalable and technology-enabled reporting and analytics solutions.
This is not a reporting-only position. It requires a strong combination of financial systems knowledge, data analysis, business analysis, data warehousing and solution-design experience.
Key Responsibilities
Business and Requirements Analysis
Lead the analysis and solution-design phases of digital transformation projects.
Engage with Finance, IT and operational stakeholders to understand business objectives, challenges and reporting requirements.
Facilitate workshops and requirement-gathering sessions with enterprise stakeholders.
Analyse and document current business processes, applications, system architecture, data flows and reporting environments.
Translate complex business, financial and data requirements into clear functional and technical specifications.
Simplify complex issues and communicate requirements effectively to both technical and non-technical stakeholders.
Identify requirements for new applications, processes or system enhancements where existing solutions do not meet business needs.
Present proposed solutions, process changes and future-state designs to stakeholders for validation and approval.
Financial and Operational Data Analysis
Analyse large and complex financial, banking and operational datasets.
Conduct detailed data profiling, scoping and data-quality assessments.
Perform deep-dive analysis to understand how transactions and operational activities flow into daily, weekly, monthly and annual reporting.
Work with business and technical teams to develop financial and operational data models.
Investigate discrepancies, data-quality issues and reporting inaccuracies.
Ensure that all data, calculations, business rules and reporting outputs delivered through the solution are complete, accurate and auditable.
Identify patterns, trends and insights that can support improved business and financial decision-making.
Reporting and Business Intelligence
Define the future state of financial reporting, operational reporting and business intelligence solutions.
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