Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and products that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.

Rakuten is a leading shopping platform that offers Cash Back on purchases from your favorite brands. By partnering with thousands of brands in apparel, beauty and wellness, dining, grocery, travel, on-demand services, subscription boxes, and more, Rakuten helps members save and get more on everyday purchases. We are looking for a results-driven, mid-level Marketing Analyst who can transform complex data into clear, actionable insights that support strategic and operational marketing decisions.

The ideal candidate brings strong analytical thinking, hands‑on experience with SQL (Python a plus), and a solid understanding of e-commerce and two‑sided marketplace business dynamics, along with the ability to communicate findings clearly to both technical and non‑technical stakeholders. This role goes beyond surface‑level reporting, requiring the ability to identify true root causes and connect business data to broader business problems. You thrive in ambiguous environments‑particularly during the first three months of training, when direction will still be taking shape‑can move fluidly between business questions and technical execution, and are comfortable using modern AI‑assisted tools to improve analytical speed, code quality, and workflow automation.

Own and monitor key business and marketing KPIs, tracking performance and conducting deep‑dive analyses to identify trends, risks, and growth opportunities Translate business problems into analytical frameworks and deliver clear,



actionable recommendations to technical and non‑technical stakeholders Write productive, scalable SQL queries to extract, transform, and validate data from multiple sources, ensuring metric accuracy and consistency Perform exploratory data analysis and statistical modelling using Python to inform strategic and operational decisions Apply statistical techniques to support experimentation, A/B testing, and causal analysis Build and maintain dashboards and automated reporting using BI tools (Tableau, Power BI, Looker) and develop scalable, reusable analytical assets Conduct in‑depth root cause analysis that goes beyond obvious or surface‑level issues, connecting business data to technical and operational context to deliver actionable recommendations Produce retention and engagement growth analysis reports for marketing leadership, routing findings through the appropriate internal review process before they reach VP stakeholders Apply working knowledge of e‑commerce and two‑sided marketplace business dynamics to frame analyses and recommendations in the right business context Hands‑on experience building and validating machine learning models (regression, classification, clustering, time‑series forecasting) Experience supporting ML workflows- feature engineering, model selection, validation, and performance tracking Python skills for data analysis and data science (pandas, numpy, scikit‑learn) - a secondary but valued skill alongside SQL Familiarity with deploying or monitoring ML models in production environments Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) Background in e‑commerce, marketing, product, or growth analytics,



particularly retention and engagement analysis Experience building more scalable, automated, and AI‑enabled analytics workflows. Master's degree in Computer Science, Economics, Statistics, or a related field Bachelor’s degree in computer science, Economics, Statistics, or a related field required ~2-5 years of non‑internship experience in data analytics, data science, or a related role (this is a mid‑level position, not entry‑level) ~ Advanced SQL proficiency required from day one (complex joins, window functions, performance optimization) ~ 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, etc.) ~ Practical experience using Claude Code or similar AI‑assisted coding and analytics tools, with the ability to critically review and validate AI generated output. ~ Comfort operating with ambiguity, especially during the first three months of training, including the ability to analyze data and determine the right direction from limited initial guidance Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. As part of our Rakuten interview process, we encourage applicants to use their own words, rather than AI‑generated content.

Tell us your story in a way that's personal and authentic. At the time of posting, Rakuten expects the Compensation (base salary + discretionary bonus) for this role to be within the range shown below. The successful applicant for this role will be eligible for stock options, health, vision, dental insurance, RRSP matching, Personal Time Off (PTO), Volunteer Time Off (VTO), and other employee benefits as the company implements.

CAD $63,394.00 - 99,112.48 annually #

📌 Full Time Marketing Analyst (Toronto)
🏢 Rakuten Rewards
📍 Toronto