People Analytics and Data Engineer(Secondment/Contract)
Role Overview
People Analytics and Data Engineer role reporting to the Director of HR Strategy & Innovation.
The role partners with HR and business leaders to build human capital data foundations and turn workforce challenges into insights and business outcomes.
This is a 12-month contract position.
Key Skills for This Role
Full Job Posting
Location and arrangement
- The posting identifies the position as onsite at 100 Queens Quay East, 9th Floor, Toronto.
Pay
- The posting lists pay of $74,671–$130,424; no pay period is stated.
Role overview
People Analytics and Data Engineer role reporting to the Director of HR Strategy & Innovation.
The role partners with HR and business leaders to build human capital data foundations and turn workforce challenges into insights and business outcomes.
This is a 12-month contract position.
Data engineering and analytics responsibilities
- Design and maintain people analytics pipelines, ETL/ELT processes, data models, and OLAP-style structures, including Microsoft Fabric snapshot tables.
- Develop schemas and architecture using approaches such as star schema and semantic modeling.
- Build Power BI dashboards, data models, and DAX logic, integrating sources into user-friendly analytical datasets.
- Implement batch ingestion and transformation; maintain data quality, reliability, consistency, and performance.
- Work with Workday Technology and HR teams to resolve data errors and improve processes.
- Enable workforce planning, predictive analytics, talent segmentation, and organizational health metrics.
- Enhance dashboards and reports for board reporting, strategic planning, talent management, DEI, and organizational health.
- Develop predictive and prescriptive models, guide employee-experience dashboard vendors, and create workforce trend narratives and decision-support materials.
- Support HR data governance, system configuration, data dictionaries, privacy procedures, and responsible data practices.
- Conduct business and workforce analysis, monitor emerging practices, and respond to stakeholder and project requests.
About you
- At least 5 years of experience in data analytics or equivalent analytics experience.
- Experience with large datasets from disparate sources and data mining.
- The provided description excerpt ends during the qualifications section, so further requirements may be omitted.
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