Pearson VUE

Lead Specialist, Data Analytics – Business Intelligence

Pearson VUE

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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About the role

  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • 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
  • 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
  • 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.
Benefits
  • 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.
  • 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.
  • 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.
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsreportingperformance analysisSQLKQLTableauPower BIAlteryxPythonR
Soft Skills
business acumenfinancial literacysynthesising complex datacommunicationprioritizationstakeholder managementanalytical thinkingdecision-makinginsight generationautomation
Certifications
ACAACCACIMAMaster’s degreedegree-level education in analytical discipline