Marketing Analyst
$41,037–$63,583 year
On-site · Toronto, Ontario, Canada
Job Summary
Marketing Analyst at Rakuten International focused on turning complex data into actionable insights. Responsible for owning and monitoring key business and marketing KPIs, translating business problems into analytical frameworks, and delivering actionable recommendations to both technical and non-technical stakeholders. Performs SQL data extraction and validation from multiple sources, conducts exploratory data analysis and statistical modeling, and supports experimentation and causal analysis (A/B testing). Builds and maintains dashboards and automated reporting using BI tools (Tableau, Power BI, Looker) and develops scalable analytical assets. Develops machine learning models (segmentation, propensity modeling, forecasting, predictive scoring) and evaluates AI-assisted outputs for accuracy, explainability, and reproducibility. Emphasizes responsible AI use and alignment with business context. Minimum requirements include 2–5 years in data analytics, strong SQL and Python skills, solid statistics background, experience with experimentation, BI tools, and ability to translate questions into analytical frameworks. Preferred qualifications include hands-on ML model experience, cloud data warehouse proficiency (Snowflake, BigQuery, Redshift), and experience in e-commerce/growth analytics. The role supports Rakuten’s data-driven decision-making and analytics workflow optimization, with a focus on speed, quality, and scalable insights.
Required Qualifications
- 2–5 years of experience in data analytics, data science, or a related role
- Advanced SQL proficiency (complex joins, window functions, performance optimization)
- Strong Python skills for data analysis (pandas, numpy, scikit-learn)
- Solid understanding of statistics, probability, and analytical best practices
- Experience with experimentation, hypothesis testing, or causal analysis
- Hands-on experience with BI and visualization tools (Tableau, Power BI, ThoughtSpot)
- Proven ability to translate business questions into analytical frameworks and communicate insights clearly
- Practical experience using AI-assisted coding and analytics tools (e.g., Claude Code)
- Experience building and validating ML models (regression, classification, clustering, time-series forecasting)
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
- Background in e-commerce, marketing, product, or growth analytics
- Experience deploying or monitoring ML models in production environments
- Familiarity with deploying/analyzing ML in cloud environments
Desired Qualifications
- Hands-on experience with SQL and Python
- Advanced SQL proficiency (complex joins, window functions, performance optimization)
- Strong Python skills for data analysis (pandas, numpy, scikit-learn)
- Experience with BI/visualization tools (Tableau, Power BI, ThoughtSpot)
- Experience with A/B testing, experimentation, or causal analysis
- Ability to translate business questions into analytical frameworks and communicate insights
- Experience with AI-assisted coding tools (Claude Code or similar)
- Experience building and validating ML models (regression, classification, clustering, time-series)
- Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)
- Background in e-commerce, marketing, product, or growth analytics
- Experience deploying or monitoring ML models in production environments
- Strong analytical thinking and storytelling with data
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