Financial Data Analyst
The Finance Data Analyst plays a key role in supporting finance reporting, planning, and decision making through high-quality data, reporting, and analytical insight. This role exists to help the Finance team access timely, accurate, and meaningful information across financial and operational data sources.
Working closely with Finance, Data & Analytics, and other business stakeholders, the Finance Data Analyst will develop and maintain reports, dashboards, and analytical models that support month end processes, performance tracking, forecasting, and continuous improvement.The role also helps identify data quality issues, improve reporting efficiency, and translate business questions into practical analytical outputs.
KEY ACCOUNTABILITIES (Over what areas does this role have responsibility?)- Develop, maintain, and improve finance reports, dashboards, and recurring analytical outputs to support month end, forecasting, budgeting, and performance management.
- Ensure timely and accurate production of existing finance reporting and investigate variances, anomalies, and data issues when they arise.
- Work with large, complex, and sometimes disparate data sources to prepare, transform, and analyse data for reporting and business insight.
- Partner with Finance stakeholders to gather requirements, define KPIs and reporting needs, and translate business questions into clear analytical solutions.
- Produce ad hoc analysis and models to support decision-making, identify trends, risks, and opportunities, and provide actionable recommendations.
- Support the ongoing uplift of finance data quality by identifying gaps, inconsistencies, and process improvement opportunities, and working with relevant stakeholders to resolve them.
- Assist with the design and improvement of reporting processes, data definitions, reconciliation ns, and documentation.
- Support finance-related system, reporting, and data queries from internal stakeholders.
- Work collaboratively with Data & Analytics and upstream data owners to ensure finance reporting logic is consistent, scalable, and well understood.
- Document report logic, metric definitions, data mappings, and process steps to support continuity and governance.
- Working across multiple data sources with differing levels of quality, completeness, and business context.
- Translating finance and commercial requirements into practical reporting outputs and clear data logic.
- Balancing recurring reporting deadlines with ad hoc analytical requests and changing business priorities.
- Identifying the root cause of data discrepancies and reconciling differences across source systems.
- Communicating analytical findings clearly to both technical and non-technical stakeholders. • Maintaining reporting accuracy and consistency while improving automation and efficiency.
OPERATING ENVIRONMENT
Decision Making Authority (Both from a Problem Solving and Accountability Perspective)
Decisions made under
own authority:
Prioritisation of day-to-day analytical tasks, report design within agreed standards, data validation approaches, and recommendations for reporting improvements.
Decisions referred to
higher authority:
Major changes to finance reporting strategy, investment in new platforms or tooling, and material changes to metric definitions or governance.