Data Analyst, Platform Excellence Ops Analytics

This is a fully remote position, open to applicants in Canada.

📋 Description

• Proactively oversee and address retailer performance challenges across various dimensions.

• Develop dashboards and processes to enhance problem identification and facilitate new retailer launches.

• Monitor and evaluate performance variations and anomalies in essential Retailer Quality metrics.

• Determine underlying causes and suggest corrective measures.

• Examine extensive Retailer Fulfillment Quality datasets to extract business insights.

• Independently formulate and implement analytical strategies to identify, comprehend, and mitigate fulfillment quality challenges.

• Assist with analytics inquiries, ad hoc retailer analyses, launch impact evaluations, and retailer escalations.

• Provide initiative sizing for product and analytical roadmaps.

• Generate and routinely present insights decks to both business and technical stakeholders.

• Convey findings as clear, data-supported narratives accompanied by actionable recommendations.

• Collaborate across departments to enhance fulfillment quality, products, and processes.

⛳️ Requirements

• Minimum of 1 year of experience in a data analytics-related position, such as business intelligence, corporate strategy, consulting, or data science.

• Experience in analyzing and visualizing large datasets.

• Advanced skills in SQL and Excel or Google Sheets for data analysis.

• Capability to aggregate and synthesize substantial volumes of data.

• Comprehensive understanding of micro and macro fulfillment metrics and systems.

• Strong problem-solving abilities and meticulous attention to detail.

• Aptitude for identifying anomalies in performance metrics and trends, formulating hypotheses, and drawing conclusions through detailed analysis.

• Proficient in PowerPoint or Google Slides.

• Ability to work autonomously with a strong sense of accountability.

• Comfort in proposing new ideas to challenge existing processes.

• Preferred: experience in a consumer marketplace or logistics sector.

• Preferred: familiarity with Snowflake or similar data warehouses, GitHub, and Jira.

• Preferred: experience with Mode or Tableau.

• Preferred: experience working directly with product and engineering teams on scalable process solutions.

• Preferred: experience utilizing AI tools for analytics, including data validation and reproducibility.

🏝️ Benefits

• New hire equity grant.

• Annual refresh grants.

• Flexible choice of work location: home, office, or coffee shop.

• Regular in-person events.

• Market-competitive compensation and benefits.