Finance Data Analyst
Role Overview
Join the Data and Digitalisation function as the bridge between Finance, Data and Technology.
Help establish a consistent, trusted view of financial performance across multiple businesses.
Key Skills for This Role
Full Job Posting
Role overview
Join the Data and Digitalisation function as the bridge between Finance, Data and Technology.
Help establish a consistent, trusted view of financial performance across multiple businesses.
Responsibilities
- Act as finance domain expert for reporting, analytics and data initiatives; define finance KPIs, business rules, calculations and standards.
- Gather and translate business requirements into technical specifications; facilitate stakeholder workshops.
- Maintain mapping documents, data definitions, decision logs and acceptance criteria.
- Govern, reconcile and validate financial data across systems and reports; implement data-quality and audit controls.
- Work with Data Engineers, BI Developers and stakeholders to deliver reporting solutions.
- Develop and maintain Power BI dashboards and reports; support enterprise semantic models and reporting standards.
- Standardize finance reporting processes and partner with senior Finance, Operations and Technology stakeholders.
Essential qualifications and experience
- ACCA, CIMA or equivalent recognized professional accountancy qualification is essential.
- At least four years in a Finance Domain Analyst, Finance Business Analyst, Finance Data Analyst or similar finance-focused role.
- Strong knowledge of Profit and Loss, Balance Sheet, Cash Flow, General Ledger, Accounts Payable, Accounts Receivable, cost centre structures and financial reporting.
- Experience with stakeholders at all levels, requirements gathering, process analysis and workshop facilitation.
- Experience documenting business requirements, data definitions and process specifications.
- Strong Power BI reporting and dashboard development experience; good SQL knowledge and confidence working with data.
- Strong knowledge of data governance, data quality and reconciliation; excellent communication and ability to explain financial concepts.
Desirable qualifications and experience
- Semantic modelling and enterprise reporting solutions.
- Python, Spark or advanced data-analysis techniques.
- Microsoft Power BI certification, such as PL-300 or similar.
- Experience in large or multi-entity organizations.
Benefits
- Competitive salary, discretionary bonus, pension, annual salary review and enhanced holiday scheme.
- Health and wellbeing offerings include eye-test and glasses vouchers, employee assistance, annual flu jabs, group life cover and private healthcare.
- Other offerings include interest-free company loan, on-site parking, electric vehicle charging, referral bonus, career pathways, supply-chain academy and apprenticeships.
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