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Lead Analytics Engineer

Innodata Canada💼 Full-time🗓 2026-08-19 → 2026-09-26

Core

Staff-level Analytics Engineer leading monetization data science, pipeline architecture, and executive dashboards for advertiser revenue and growth metrics.

Role type

Staff-level Individual Contributor Analytics Engineer

Builds

Production SQL pipelines, data cubes, semantic layers, and executive dashboards for monetization analytics

Domain

Digital Advertising / Monetization / Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Expert SQL, Data Modeling (Kimball/Star Schema), Airflow DAGs, Python (pandas/PySpark), Metric Governance, Root-cause Analysis, Query Optimization, Data Quality Frameworks

Preferred skills

dbt, Tableau/Superset, Ads-tech metrics (ROAS/Attribution), FAANG/Ads-tech pedigree

Technologies

Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift, Airflow, Tableau, Superset, Python, dbt

Responsibilities

Architect and own production-grade SQL data pipelines and data cubes; Define and govern metrics and executive dashboards; Lead end-to-end analytics initiatives and root-cause analysis; Set standards for data quality and pipeline reliability; Coach and review work of other analysts and engineers

Seniority

Staff, hands-on IC with technical leadership

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