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Forward - Senior Data Analyst, Advanced Analytics & Data Science

ShyftLabs
Toronto, CAN
Full-time
Senior
Onsite
Discovered 1 weeks ago
Advanced analyticsData scienceRetail Media Network (RMN) analyticsSQLGoogle BigQueryPython

Full Job Posting

Opportunity

ShyftLabs is seeking an experienced Senior Data Analyst to support Retail Media Network initiatives for an enterprise client.

The client-facing role uses advanced analytics and data science to assess advertising performance and support strategic decisions.

What you'll do

  • Analyze campaign performance, attribution, ROAS, and incrementality; identify advertising optimization opportunities.
  • Conduct exploratory analysis, statistical modeling, hypothesis testing, forecasting, segmentation, and predictive modeling.
  • Build dashboards, analytical models, and scalable reporting with Tableau, Looker, or comparable BI tools.
  • Use SQL, BigQuery, and Python to extract, transform, analyze, and validate large datasets.
  • Automate recurring reports and analytical workflows, including data validation.
  • Work with client stakeholders and technical teams to define requirements and deliver actionable recommendations.
  • Present insights and visualizations to technical and non-technical audiences; coordinate analytical projects through delivery.
  • Document analytical methods, data definitions, business logic, and reporting processes; mentor junior analysts.

What you'll bring

  • 4–7 years of experience in data analytics, BI, advanced analytics, data science, or a related quantitative field.
  • Strong SQL and BigQuery proficiency, including large datasets, transformations, analytical models, and query optimization.
  • Hands-on Python and analytical library experience; the description lists Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, or equivalent tools.
  • Experience with statistical analysis, exploratory analysis, hypothesis testing, regression, forecasting, and segmentation.
  • Strong dashboard, visualization, and reporting experience with Tableau, Looker, or comparable BI platforms.
  • Experience applying analytics to business performance, campaign effectiveness, marketing analytics, or advertising measurement.
  • Familiarity with attribution, ROAS, incrementality, campaign optimization, and performance measurement is highly desirable.
  • Experience automating reporting and data validation; strong understanding of data quality, metric definitions, documentation, and governance.

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