Required onsite in client Head Office – Manchester, with some remote
Key Responsibilities & Experience Required
* Lead the end-to-end implementation of Workday Prism Analytics within a global HR environment, acting as the primary SME for Prism architecture, deployment and best practice.
* Design, build and maintain Prism data pipelines, including ingestion, transformation, cleansing and publishing of HR data from both Workday and disparate third-party systems.
* Develop scalable data models using joins, unions, calculated fields and curated datasets to support enterprise-wide reporting and analytics requirements.
* Deliver advanced Workday reporting solutions including Prism dashboards, Discovery Boards, Matrix Reports, Composite Reports and Report Writer outputs.
* Partner closely with HR, Reporting & Analytics, IT Architecture and Integration teams to translate complex business requirements into scalable technical solutions.
* Support integration design activities required to connect Workday Prism with core HR systems and external data sources.
* Ensure strong data governance, reporting accuracy, security and compliance across all reporting and analytics deliverables.
* Act as the escalation point and SME for Prism-related troubleshooting, including data transformation, ingestion and reporting issues.
* Train and upskill members of the HRIS and Reporting & Analytics teams to ensure long-term internal capability and effective adoption of Workday Prism.
* Demonstrate strong hands-on expertise across Workday Prism Analytics, Workday Reporting, Calculated Fields, Dashboards and broader HR data architecture principles.
* Bring experience working in complex stakeholder environments, with the ability to communicate technical reporting and data concepts clearly to non-technical audiences.
* Advanced Excel capability and experience with SQL and/or broader data manipulation concepts would be beneficial.
* Previous consulting or client-facing project delivery experience is highly desirable.
* Workday Prism Analytics Certification and/or exposure to broader BI tooling such as Power BI or Tableau would be advantageous.
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