Workday Prism Consultant

Responsibilities

• Define and deliver high‐impact data integration and visualization solutions by working closely with client business and data teams to empower data‑driven decision‑making.
• Architect, implement, and configure Workday Prism Analytics for a global customer base as a key member of the HR‑Path team.
• Build strong customer relationships to bridge the gap between complex external data sources and Workday’s native reporting.
• Train end‑users and data analysts on Prism self‑service capabilities to ensure long‑term solution adoption.
• Execute every phase of a Workday Prism implementation, rotating through roles such as Data Architect, ETL Specialist, Solution Architect, and Analytics Lead.
• Develop sophisticated data models and advanced dashboards to enhance our analytics propositions and grow the business.
• Maintain high flexibility, including a willingness to travel to customer sites or attend global events.

• Proven experience in implementing Workday Prism Analytics or similar enterprise‑grade ETL and BI tools (e.g., Tableau, Alteryx, Power
  
  BI).
• Ability to design complex data pipelines, including data ingestion, transformation using Prism functions (Join, Union, Group By, Filter), and publishing to Workday Discovery Boards.
• Expertise in data modeling, with a deep understanding of how to blend Workday data with external financial, operational, or legacy HR data.
• Advanced proficiency in reporting, specifically building Workday Calculated Fields, Matrix Reports, and Composite Reports to leverage Prism datasets.
• Strong commitment to Data Governance, ensuring data security, lineage, and privacy standards are maintained within the Prism environment.
• Demonstrated functional experience across the project lifecycle, including facilitating data discovery workshops, mapping source‑to‑target data, and executing rigorous data validation and UAT.
• Effective prioritization of tasks and proven ability to manage complex data mapping schedules and technical troubleshooting efficiently.

• Workday Prism Analytics certification is highly preferred.
• Workday Core HCM certification is required.
• Experience with SQL, Python, or other data manipulation languages is a significant asset.
• Familiarity with Workday Extend or Big Data technologies is a plus.

• Pivotal team player with an excellent attitude and the ability to translate technical data jargon into clear business insights.
• Excellent communication skills (written, oral, and presentation) in English, specifically regarding data storytelling.