Ads AI Analyst

New

CanadaFull-TimeMiddle

Salary115,000 - 121,500 CAD per year

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Job Details

Experience: 3–6 years
Required Skills: PythonSQLMachine LearningSnowflakeAirflowA/B testingBigQuerydbt

3–6 years of experience in analytics engineering, data science, or applied AI.
2+ years of domain expertise in advertising, retail, or e-commerce analytics.
Advanced proficiency in Python and SQL.
Proficiency in dbt and cloud data warehouses like Snowflake or BigQuery.
Experience designing and orchestrating data pipelines using dbt and Airflow.
Familiarity with data visualization tools such as Tableau, Mode, Power BI, or Looker.
Strong understanding of ad performance metrics including ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
Proven ability to design offline/online evaluations, run A/B tests, and deliver production AI or analytics solutions.
Knowledge of ML concepts for bid, keyword, and budget recommendations.
Experience with human-in-the-loop QA and evaluation frameworks.

Define ontologies, metrics, and data structures for campaigns, budgets, bids, creatives, audiences, and placements.
Build and maintain data pipelines, dbt models, and curated marts in Snowflake or similar platforms, ensuring clear data contracts, quality tests, and SLOs.
Ingest, enrich, and publish unstructured advertising content, creating retrieval-ready datasets for AI agents.
Design, evaluate, and iterate on retrieval workflows, agent reasoning, and human-in-the-loop processes to optimize ad recommendations.
Establish evaluation frameworks to measure precision, recall, latency, calibration, hallucination rates, and cost-effectiveness.
Run A/B and uplift experiments to quantify performance improvements and guide ongoing optimization.
Translate complex advertising problems into actionable agent behaviors and track KPIs such as ROAS lift, pacing accuracy, and forecast precision.

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