Marketing Analyst at Rakuten Rewards | CA | Rezi

Marketing Analyst at Rakuten Rewards

Marketing Analyst

Rakuten Rewards · CA

1 weeks ago

Marketing Analyst

Rakuten Rewards · CA

8 days ago
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About the Role

We are seeking a results-driven, mid-level Marketing Analyst to transform complex data into clear, actionable insights supporting strategic and operational marketing decisions. The ideal candidate possesses strong analytical thinking, hands-on SQL experience (Python a plus), and a solid understanding of e-commerce and two-sided marketplace dynamics. This role requires identifying root causes, connecting business data to broader problems, and utilizing AI-assisted tools for efficiency.

Responsibilities

  • 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 efficient, scalable SQL queries to extract, transform, and validate data from multiple sources, ensuring metric accuracy and consistency.
  • Perform exploratory data analysis and statistical modeling 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.
  • Build, validate, and interpret machine learning models, including segmentation, propensity modeling, forecasting, and predictive scoring.
  • Evaluate and apply AI tools responsibly, ensuring analytical outputs are accurate, explainable, reproducible, and aligned with business context.
  • 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.

Requirements

  • 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.
  • 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.).
  • Proven ability to translate business questions into analytical frameworks and communicate insights clearly.
  • Practical experience using Claude Code or similar AI-assisted coding and analytics tools, with the ability to critically review and validate AI generated output.
  • Understanding of e-commerce or any two-sided marketplace business dynamics.
  • 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.

Skills

  • SQL
  • Python
  • BI tools (Tableau, Power BI, Looker)
  • Machine learning models (segmentation, propensity modeling, forecasting, predictive scoring)
  • AI tools
  • E-commerce business dynamics
  • Two-sided marketplace business dynamics
  • Data analysis
  • Data science
  • Statistical modeling
  • Experimentation
  • A/B testing
  • Causal analysis
  • Root cause analysis
  • Retention analysis
  • Engagement analysis
  • Cloud data warehouses (Snowflake, BigQuery, Redshift)
  • ML workflows (feature engineering, model selection, validation, performance tracking)

Location

  • San Mateo, California

Work Type

  • Full-time

Experience Level

  • Mid-level

Education Level

  • Bachelor's degree in Computer Science, Economics, Statistics, or a related field
  • Master's degree in Computer Science, Economics, Statistics, or a related field

Salary/Compensations

  • CAD $63,394.00 - 99,112.48 annually

Benefits

  • Stock options
  • Health insurance
  • Vision insurance
  • Dental insurance
  • RRSP matching
  • Personal Time Off (PTO)
  • Volunteer Time Off (VTO)

About the Company

  • 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 services 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.
  • Since its founding in 1999, Rakuten has become the largest and most rewarding shopping program, and its members have earned $4.6 billion in Cash Back just for shopping through Rakuten.
  • For more information, visit Rakuten.com.

Equal Opportunity

  • Rakuten is an equal opportunity employer.
  • Accessibility accommodations for candidates with disabilities participating in the selection process are available on request.
  • Any information received related to accommodation needs of applicants will be addressed confidentially.