Senior Analytics Developer, People Analytics

New

Remote (Canada)Full-TimeSenior

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Python for pipeline orchestration, data transformation, and scripting
Experience with dimensional modelling, SCD types 1/2/3, and snapshot patterns
Hands-on experience with dbt or equivalent, including testing documentations and incremental loading patterns
Pipeline orchestration using Airflow, Prefect, or similar
Familiarity with cloud data warehousing (Snowflake, BigQuery, or Redshift)
Advanced SQL, including window functions, CTEs, date spine logic
HR data literacy: employee lifecycle events, job hierarchies, headcount types, and compensation structures
Experience extracting data from various data platforms such as Workday, Ashby, or Greenhouse
Version control in Git as standard practice

Design and build the data pipelines and transformation models that move raw data from source systems into a centralized data warehouse.
Drive the creation of a canonical employee record with a stable, consistent identifier that survives job changes, rehires, and system migrations.
Own the semantic layer for people metrics: define, document, and maintain agreed-upon definitions for core measures.
Bridge the gap between raw sources and business value, ensuring data models answer specific strategic questions.
Build slowly-changing dimension patterns and dated workforce snapshots that enable accurate point-in-time analysis.
Establish data governance practices that belong in a people analytics function.
Partner with HR business partners, Finance, and People Operations leaders to translate business questions into well-structured data models and durable analytical solutions.
Use AI tools to accelerate your work, drafting pipeline code, generating documentation, stress-testing metric logic, and turning technical findings into clear communication.

View Full Description & ApplyYou'll be redirected to the employer's site