Data Accountant (12month FTC)

The Data Accountant is a 12 month fixed-term contract role within the Record-to-Report (RTR) function of Global Finance Services (GFS). The role is based in Manchester. You will sit within the RTR function of GFS and be responsible for the integrity, quality and continuous improvement of financial data and controls across the GFS operating model. It is analytical and controls-focused. Combining hands‑on finance operations knowledge with ownership of the GFS actuals reporting infrastructure, it also has a forward‑looking responsibility. This responsibility is to embed AI tools and data‑driven working practices into GFS processes. Role Responsibilities Controls and RTR Complete and report on SOX journal testing (RTR-2.6.1), document results and lead remediation of issues identified. Help maintain the GFS controls framework, including the CSA programme and control self‑assessments. Monitor reconciliation completion and quality during month‑end and report final status to GFS leadership; work in collaboration with Intelligent Enterprises to ensure ARCS master data is accurate and reconciliation automation is optimised. Identify and elevate data integrity issues, including those originating in supplier or customer master data, that affect financial reporting accuracy. Support internal and external audit with clean, well‑documented data extracts and process evidence. Variance Reporting and Analytics A core output of this role is the develop and ongoing ownership of the GFS actuals variance reporting suite. This covers monthly and quarterly cycles across the P&L and Balance Sheet, and GFS accountants refresh and operate it independently. Forecast and budget variance analysis sits with FP&A and is outside the scope of this role. Develop monthly P&L reporting packs covering month‑on‑month actuals movements by cost centre and GFS process tower (RTR, PTP, OTC), with exception commentary frameworks to support accountant review. Develop monthly Balance Sheet packs covering month‑on‑month movements by entity, with ageing analysis and reconciliation status where relevant. Develop quarterly packs covering quarter‑on‑quarter and year‑on‑year P&L and Balance Sheet movements, with trend analysis and narrative support for GFS leadership reporting. Build all reports to be self‑refreshing or one‑click refreshable by GFS accountants using Power BI, Power Query or equivalent, with no dependency on manual data manipulation by the Data Accountant. Produce clear data dictionaries and refresh guides so accountants can operate, interpret and present packs without technical support. Lead the underlying data model: ensure source data connections from Oracle Fusion and Maconomy are stable, documented and version‑controlled. Set and enforce data standards for the reporting suite: naming conventions, hierarchy understanding, currency treatment and intercompany eliminations. Iterate packs in response to business change: new entities, restructuring, changes to the GFS operating model or chart of accounts. Develop exception and threshold alerting within the reporting suite to flag material movements automatically, reducing manual review time for accountants. GFS Performance Reporting Develop and maintain GFS operational KPI dashboards covering reconciliation completion rates, SLA performance, open items ageing and process tower throughput. Track and report on GFS optimisation and improvement initiatives. Use SQL and AI‑assisted tools to interrogate financial data sets, surface anomalies and support ad hoc analysis requests from GFS leadership. Maintain SOPs and process maps for all reporting outputs owned by this role. Help design and implement automation and process improvement initiatives across GFS. Contribute to the adoption of AI tools in daily finance operations, identifying use cases and supporting change. Manage ServiceNow task queues during month‑end to guide efficient execution across the team. Foster a culture of accountability and continuous improvement within GFS. Cross‑functional Working Work with the Master Data Lead on data quality issues at the intersection of financial controls and master data, including supplier and customer records that affect reconciliations, payment runs or revenue reporting. Partner with divisional finance teams to resolve data queries and communicate process changes. What Do You Bring to the Role? Part qualified accountant (ACA, ACCA, CIMA or equivalent), or a finance degree with practical experience. Experience with Record‑to‑Report processes and financial controls in a shared services environment. Hands‑on experience with P&L and Balance Sheet variance analysis and period‑end close processes. Familiarity with SOX requirements and reconciliation governance. Experience with Oracle Fusion or Maconomy; broader ERP experience (SAP, Workday, Dynamics 365) also relevant. Proficiency in Power BI, Tableau, Qlik or equivalent, including data model design and building self‑service reports for non‑technical users. Advanced Excel: Power Query, Pivot Tables and complex formulas. SQL skills sufficient to query and interrogate financial data sets independently. AI data fluency: practical use of AI tools to accelerate analysis, automate routine tasks and improve data quality. Technical / Functional / Behavioural Understanding of RTR close processes, control frameworks and audit requirements. Develop self‑service reporting infrastructure that non‑technical finance users can utilise. Practical, working fluency with AI tools (e.g. Copilot, ChatGPT, Gemini) applied to finance tasks: reconciliations, variance commentary, exception identification and report drafting. Sound judgement about when AI output requires human review, in a controls environment where accuracy is non‑negotiable. Experience with automation tooling (Power Automate, Alteryx, UiPath, Python or similar) is advantageous. Familiarity with master data structures, including supplier and customer records, and their impact on financial integrity. We are an equal opportunities employer. #J-18808-Ljbffr INIZIO