Senior Data & Power BI Analyst

Senior Data & Power BI Analyst

We are seeking a Senior Data & Power BI Analyst to join our Corporate Reporting team within Group Finance, playing a key role in how data is structured, transformed and delivered to support business performance across the organisation.

This is a high-impact role focused on designing and building robust, scalable reporting solutions, with a strong emphasis on Power BI, data modelling and automation. You’ll work closely with the Business Performance team and senior stakeholders to translate data into meaningful insights that support decision‑making across the Group.

This role will be on a hybrid working basis, a minimum of 3 days per week from either our London (Lacon) or Sunderland (Doxford) office, with flexibility to work from where you can best deliver for your customers while maintaining a healthy work‑life balance.

• Designing and building end‑to‑end reporting solutions, from raw data through to published outputs
• Developing robust and scalable data models to support enterprise‑level reporting
• Creating and maintaining high‑quality Power BI dashboards, ensuring usability, performance and reliability
• Transforming and structuring data using Excel and Power Query to support consistent reporting outputs
• Identifying opportunities to automate and streamline processes, reducing manual intervention and operational risk
• Supporting continuous improvement of reporting processes, embedding best practice across the function
• Translating business needs into structured data solutions, particularly where requirements may be evolving or not fully defined
• Working closely with stakeholders across Group Finance and the wider business to ensure reporting outputs add real value

• Management accounts, e.g. actuals reporting and associated issue‑based reconciliations (I ), incl. relevant schedules incl. profit and loss (P&L), balance sheet, debt and cashflow (incl. link to Treasury liquidity forecasts), working capital, normalised/underlying trading, reporting of material provisions, investment (incl. Capital Investment) and associated commercial assumptions, relevant KPI reporting
• Forecast, bi‑annually, as above
• Budget, annually, as above
• Business Plan (BP), annually, as above incl. any relevant Group level or BU level
• Financial risk and opportunity (R&O) reporting, twice annually incl. once annually R&O for the BP period. This also requires, where relevant alignment and reconciliation to OU Enterprise Risk reporting (occurs in parallel to financial R&O reporting)
• Order Book, twice annually, revenue and pertinent contract level information to support analysis
• Supporting information for STI/ LTI scheme performance
• Any other requirements as they occur in relation to cyclical Financial MI requirements of the Group
• Embed a culture of continuous process improvement and critical constructive challenge, within team, utilising new technologies and/or processes to standardise, streamline and automate where possible
• Ability to connect data and information, integrate and appraise findings to enable quality of Financial MI produced
• Ability to plan (own time) and deliver quality information requirements to relevant timetable
• Demonstrate flexibility and resilience to work across the group
• Ability to identify improvements to Financial MI processes and deliver on improvements within scope of role
• Strong communication skills, written and verbal, and proven ability to distil complex financial data and techniques into relevant Financial MI
• Stakeholder relationships with Group Finance Director, Head of Corporate Accounting, Head of Corporate Reporting, Corporate Reporting Manager, Corporate Center/BU Senior Stakeholders, Senior Business Partners

• Advanced Excel capability, including working with complex and large data sets
• Strong experience with Power BI, including DAX and dashboard development
• Hands‑on experience with Power Query (M) and data transformation
• Proven ability to build end‑to‑end reporting solutions from data ingestion through to output
• Strong data modelling experience, including building scalable and efficient models
• A…