← к выдаче
аналитика

Senior HR Data & Systems Analyst

CO, AR, MX, CL3 дн. назад

Коротко

Defines HR metrics and data certification criteria, mapping Workday, Dayforce, and PeopleSoft sources to Silver/Gold data assets for Power BI. · Needs: 7-9 years in data/systems analysis including 4+ years with HR/HRIS data; advanced SQL; Workday HCM and Dayforce data models

Описание от работодателя

Est. Years of Experience: 7 to 9 years in data or systems analysis, including 4+ years with HR or HRIS data Role Summary: HR data domain expert on the team. Translates EM's HR metrics (forcecount, Management Trainee retention, PIP cadence, schedule usage) into precise, certified data definitions that engineers can build and Power BI teams can trust. Bridges HR, HRIS, and D&A stakeholders on one side and the engineering team on the other. Responsibilities: Interpret EM's Power BI requirements template and convert the 5 metric domains into documented metric definitions and business rules Define calculation logic for metrics such as Forcecount (averaged over 36 points in time), All-In retention, MT 120-Day retention, Source of Hire, and Reviews Past Due Map Workday, Dayforce, and PeopleSoft source fields to Silver dimensions and Gold assets Facilitate source data validation with HRIS and HR stakeholders at the Bronze-to-Silver boundary Write the data certification criteria for each of the 15 certified data assets and manage sign-off Resolve conflicts between metric definitions across teams and record decisions Define test cases and acceptance criteria, and lead reconciliation of results with HR owners Support the Systems Analyst on documentation, UAT, and defect triage Flag scope changes and open items (for example, Hiring App Flow) to the technical lead Technical Skills: HR metrics and workforce analytics (headcount, retention, turnover, hiring, mobility, performance reviews, scheduling and hours) Workday HCM data model and reporting, and Dayforce time and scheduling data PeopleSoft HCM data structures Advanced SQL for data profiling, validation, and reconciliation Metric and data dictionary design Dimensional modeling concepts (facts, dimensions, grain, conformed dimensions) Business requirements and user story documentation Power BI report and dashboard literacy, and requirements for certified datasets Sensitive HR data handling and privacy practices Jira or Azure DevOps Boards for backlog management