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Prism Administrator (Workday)

SE HealthC$58k-C$73k / yr

Markham, ON, CanadaHybrid

About the role

TL;DR

This 12-month contract is hybrid in Markham, with in-person meetings 2–3 times per week or as needed for project support. You’ll maintain Workday Prism Analytics datasets and pipelines, calculated fields, integrations, and reporting, while using SQL for data analysis, reconciliation, testing, and troubleshooting across Workday and external systems. The role requires 1–3 years of relevant experience, including hands-on Workday Prism Analytics, data pipelines, transformation, reporting, or integration work. Pay is $58,000–$73,000 annually based on experience.

The Prism Administrator supports the design and maintenance of Workday Prism datasets, data pipelines, calculated fields, integrations, and Workday reporting solutions. The role also assists with SQL-based data analysis, data reconciliation, troubleshooting, testing, and root-cause analysis across Workday and external systems.

Note: This is a 12-month contract hybrid role based out of Markham, ON. Occasional travel will be required for in-person meetings 2–3 times per week, or as needed for project support.

Key Responsibilities:

  • Prism Administration
    • Support the design, development, configuration, and maintenance of Workday Prism Analytics data pipelines.
    • Build and maintain Prism datasets by combining data from Workday and external data sources.
    • Support data ingestion, transformation, cleansing, and enrichment processes within Prism.
    • Monitor scheduled data loads and pipelines to ensure successful and timely processing.
    • Investigate and troubleshoot failed data loads, pipeline errors, and data quality issues.
    • Perform data validation and reconciliation between source systems, Prism datasets, and downstream reporting.
    • Assist with optimizing data pipelines for performance, reliability, scalability, and maintainability.
    • Maintain technical documentation for data sources, data pipelines, transformations, dependencies, and business logic.
    • Support the identification and resolution of upstream and downstream data dependencies.
  • Data Analysis
    • Perform data profiling and quality checks to identify missing, duplicate, inconsistent, or inaccurate data.
    • Compare source and target data to validate data transformations and integrations.
    • Support pay data reconciliation activities.
    • Analyze large data sets to identify trends, anomalies, and data quality concerns.
    • Document findings and communicate technical issues and potential solutions to technical and functional stakeholders.
  • Integrations
    • Support the administration, monitoring, testing, and troubleshooting of Workday integrations and data exchanges.
    • Assist with reviewing inbound and outbound integration data to identify errors and discrepancies.
    • Support integration testing between scheduling systems, Workday Prism, Workday Time Tracking, and Workday Payroll.
    • Analyze integration output files and data to validate completeness and accuracy.
    • Assist with troubleshooting integration failures and escalating complex issues to senior technical resources or integration partners.
    • Support the development and maintenance of integration-related documentation and data flow diagrams.
    • Help identify dependencies between integrations, Prism pipelines, reports, and downstream processes

Required Qualifications:

  • Education:
    • Bachelor's Degree
      • Data Analytics, Business Administration, Information Systems, Human Resources, Payroll, Finance, or related field
  • Workday Experience:
    • 1 to 3 years of experience in HRIS, data analytics, data engineering, systems administration, business intelligence, or enterprise applications.
    • Hands-on experience working with data pipelines, data transformation, reporting, or data integration.
    • Experience with Workday Prism Analytics and developing or maintaining Workday calculated fields.
  • Additional Skills/Abilities:
    • Ability to translate business requirements into technical data and reporting requirements.
    • Experience with enterprise data warehouses, ETL/ELT processes, or data integration platforms.
    • Strong analytical and problem-solving skills with the ability to investigate complex data issues.
    • Strong attention to detail and ability to work with large, complex datasets

This role is a new position. The pay range is $58,000 – $73,000 annually, based on experience.

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