About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst, Platform Excellence Ops Analytics based in United States.
Responsibilities
- Proactively monitor retailer performance across key fulfillment quality dimensions, developing dashboards and processes.
- Analyze fluctuations, anomalies, and outliers across key retailer quality metrics to identify root causes.
- Work with large datasets to uncover business insights and independently design and execute analytical plans.
- Support analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations.
- Translate complex analytical findings into clear, compelling narratives through presentations and insights decks.
- Partner cross-functionally with product, engineering, operations, and other teams.
- Establish proactive monitoring approaches.
Requirements
- 1+ year of experience in a data analytics-related role.
- Strong experience analyzing and visualizing large datasets, with advanced proficiency in SQL and Excel or Google Sheets.
- Ability to aggregate and synthesize complex data.
- Strong problem-solving abilities and exceptional attention to detail.
- Proficiency in PowerPoint or Google Slides.
- Strong sense of ownership and independence.
- Experience in a consumer marketplace or logistics environment is preferred.
- Familiarity with Snowflake or similar data warehouses, GitHub, Jira, and visualization platforms such as Mode or Tableau is an advantage.
- Experience collaborating directly with product and engineering teams is a plus.
- Exposure to AI-powered analytics tools is considered an additional advantage.
Conditions
- Competitive base salary of $81,000–$85,500 CAD for candidates based in Canada.
- Eligibility for a new-hire equity grant, along with potential annual equity refresh grants.
- Fully remote work opportunity, with hiring currently available in Ontario, Alberta, British Columbia, and Nova Scotia.
- A flexible work model.
- Market-competitive compensation and benefits.
- An inclusive environment.
- The opportunity to influence operational quality and customer experience.
- Exposure to cross-functional projects.