Sr. Product Analyst
Company | Rakuten |
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Location | Toronto, ON, Canada |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- 4+ years of professional experience as a product analyst, preferably in the retail or e-commerce industry.
- Strong problem-solving and critical-thinking skills.
- Strong SQL skills, comfortable working with large datasets (e.g., financial, clickstream) in a Big Data environment.
- Strong understanding of A/B testing methodologies and statistical analysis.
- Experience with reporting and visualization tools (Tableau preferred).
- Ability to work in a fast-paced environment, manage multiple projects of different contexts and delivering on time.
- Strong interpersonal skills, both written and verbal, with the ability and confidence to succinctly convey complex information to senior management.
- A bachelor’s degree in computer science, mathematics, economics, statistics, or engineering is required.
- Proficiency in applying statistical approaches to test design, measurement, and analysis.
- Skills in translating data-driven learnings and statistical models into actionable insights and effectively communicating these to key stakeholders.
Responsibilities
- Collaborate with Product and Engineering teams to identify opportunities, estimate impact to prioritize focus, implement and analyze tests.
- Define key business metrics for experimentation and run large scale experiments that deliver impactful results to the business.
- Build scalable reporting systems using SQL, BI tools, and scripting languages that help provide insights to business stakeholders.
- Perform deep dive analysis to explain what happened and recommend improvement opportunities.
- Be the expert on the data sets and data tools available to improve the product experience using data.
- Help monitor the quality of the data that is being made available through the company’s reporting tools.
Preferred Qualifications
- Experience working with experimentation platforms (e.g., Optimizely, LaunchDarkly) is preferred.