Lead Specialist, Data Analytics and Business Intelligence

Performance, Content & Financial Analytics

• Develop dashboards and reporting that provide insight into investment performance, content-related activity, and financial outcomes.
• Support analysis across budgets, forecasts, actuals, and performance trends.
• Enable consistent, multi-dimensional views (e.g. organisational, regional, functional) to support decision-making.

Data Integration, Quality & Automation

• Work with data from multiple enterprise systems and cloud-based platforms.
• Contribute to the integration, transformation, and curation of datasets used for reporting and analysis.
• Reduce manual reporting through standardised datasets, dashboards, and light-touch automation.

Advanced & AI-Assisted Analytics

• Apply analytical techniques to identify patterns, variances, and opportunities across performance and financial data.
• Support the use of AI-assisted analytics to improve insight generation, variance explanations, and reporting efficiency.
• Operate within established data governance, security, and tooling standards.

Stakeholder Engagement & Delivery

• Partner with stakeholders to translate analytical needs into clear, decision-ready outputs.
• Manage priorities across multiple requests and timelines.
• Communicate insights clearly to both technical and non-technical audiences.

The role will help build a cross-integrated view of data that is currently fragmented or under-utilised, enabling more informed, data-driven decisions. It requires a strong analytical background, curiosity, and the ability to engage, challenge, and influence credibly across a complex enterprise environment., Core Analytics & Business Skills

• Strong experience in data analytics, reporting, and performance analysis
• Solid business acumen and financial literacy, with confidence working across budgets, forecasts, and actuals
• Ability to synthesise complex data into clear, actionable insights
• Experience contributing to, or supporting, large and complex analytical initiatives

Data & Technology

• Strong capability in SQL; KQL experience an advantage
• Proficiency in enterprise visualisation tools, such as Tableau and/or Power BI
• Experience with data preparation and analytics tools (e.g. Alteryx, KNIME, Excel); Python and/or R an advantage
• Experience working with enterprise-scale systems, such as Oracle (e.g. EBS / Fusion / OPA) and other operational platforms (e.g. Salesforce or similar)
• Understanding of cloud data platforms, including GCP, with exposure to Azure and/or AWS
• Comfortable working with large, complex datasets in a governed enterprise environment
• Exposure to group reporting or consolidation systems (Oracle / Hyperion advantageous)
• Familiarity with light automation using tools such as Power Automate is a plus

Ways of Working

• Delivery-focused, pragmatic, and comfortable navigating ambiguity
• Confident operating in matrixed, multi-stakeholder environments
• Strong written, verbal, and presentation communication skills, including executive-level reporting, * Degree-level education in a numerate or analytical discipline
• Master's degree or equivalent experience an advantage
• ACA, ACCA, CIMA or equivalent accounting qualification preferred.

#LI-AM1

Pearson's commitment to learning extends to every aspect of our business - including how we invest in our future. With a wealth of data at our fingertips, we have an exciting opportunity to further elevate our decision-making. In this role, you will play a key part in unlocking new insights from our data, shaping more effective investment strategies, and helping both Pearson and grow and adapt in a dynamic environment. This role supports Pearson's global business by strengthening performance, content-related, and financial analytics, helping improve visibility, measurement, and decision-making across investment, delivery, and outcomes. We are looking for a hands-on data and analytics specialist who can help Pearson better leverage its data assets, improve forecasting and insight generation, and contribute to the continued scaling of analytics capabilities across the organisation.