Top Data & Analytics Jobs

Lead institutional effectiveness, assessment, and research activities. Manage assessment cycles, accreditation support, data collection/analysis, dashboards, KPIs, and continuous quality improvement. Coordinate cross-functional projects, implement reporting systems, conduct benchmarking and strategic research, and deliver training and consultation to support evidence-based decision-making.

Serve as US regional analytics adoption lead, coach cross-functional teams, identify improvement opportunities, build MVPs, perform data analysis, deliver automated tools and dashboards, and define data standards and governance.

Partner with business teams to convert manual reporting and spreadsheet workflows into trusted, self-serve data products and automated processes. Define metrics, build dashboards, scope and write engineering-ready specs, triage tool requests, and deliver lightweight automation or handoffs to engineering to improve reporting trust, reduce manual work, and increase efficiency.

Technical owner of enterprise Power BI semantic models and KPI frameworks. Design dimensional models, develop advanced DAX measures, optimize model performance, govern metrics, build governed datasets and reports, and support deployments and migrations to Microsoft Fabric/Databricks while partnering with finance, commercial, and operations stakeholders.

Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.

Perform economic damages analysis for litigation matters (wrongful termination, discrimination, wage/hour, personal injury, wrongful death). Clean, structure, and analyze data; build damages models and visualizations in Excel; manage and review case documents; research public data sources; support report and exhibit preparation; and ensure accuracy, reproducibility, and documentation of all deliverables.

Maintain and enforce customer and pricing master data standards across SAP and legacy systems. Monitor and cleanse data, identify root causes of anomalies, build data quality reports/dashboards, coordinate cross-functional issue resolution, train staff, document standards and propose process improvements to enhance data quality and reporting.

Design, build, and maintain scalable analytics pipelines and data models; ensure data quality, reliability, and security; enable self-service data access; implement monitoring and logging; collaborate with analysts, data scientists, and stakeholders; evaluate and manage data tools and vendors; apply AI tools to improve development and data reliability.

Build and own the product analytics foundation: define core metrics, model data, create dashboards for funnels/retention/activation, analyze user journeys, respond to customer analyses, and partner with engineering on event instrumentation and data pipelines to ensure high data quality.

Lead investment planning and governance for the Data & Analytics division: develop investment roadmaps, run prioritisation frameworks, manage portfolio performance, produce executive reporting, influence senior stakeholders, and drive capital allocation decisions to optimise strategic impact.