HYBRID - Senior Data Analyst to leverage advanced analytics, experimentation, and big data tools to optimize loyalty programs and retail performance
S.i. Systèmes
Vancouver, BC-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Permanent
- Publié le 1 février 2026
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Our client in the retail, food and drug industry is looking for a Permanent Full Time - HYBRID Senior Data Analyst to leverage advanced analytics, experimentation, and big data tools to optimize loyalty programs and retail performance. Reporting to the Senior Manager, Customer Data & Insights, this role leverages data and analytics to drive large-scale projects and insights,
Work location: Langley, BC
Hybrid Set Up: 5 days in the office
Must Have:
- 5+ years in data analytics/data science
- Advanced Python coding (Jupyter Notebook environment).
- Advanced SQL for building/automating pipelines.
- Experimental design expertise (A/B & multivariate testing).
- Predictive modeling & advanced analytics (e.g., anomaly detection, forecasting, supervised/unsupervised learning).
- Visualization & reporting (Power BI or Tableau).
- Cloud environments (Azure, GCP, AWS).
- Big data tools (Spark, Databricks)
Duties:
- Collaborate with stakeholders to define business questions and KPIs.
- Design and run live statistical experiments (A/B, multivariate testing).
- Build and automate data pipelines (SQL) and perform advanced analysis (Python, Jupyter).
- Create dashboards and reports (Power BI) to communicate insights.
- Work with big data tools (Spark, Databricks) and cloud environments (Azure, GCP, AWS).
- Mentor data analysts in experimentation and best practices.
- Partner with IT and Data Scientists to deploy analytic solutions.
AI may be used in evaluating candidates.
Exigences
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