Data Analyst, Platform Excellence Ops Analytics
New
J
JobgetherOnline marketplace
Listing location: US; based in United States. Fully remote work opportunity, with hiring currently available in Ontario, Alberta, British Columbia, and Nova Scotia.Full-TimeJunior
SalaryCompetitive base salary of $81,000–$85,500 CAD for candidates based in Canada.
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Job Details
- Experience
- 1+ year of experience in a data analytics-related role, such as business intelligence, corporate strategy, consulting, or data science.
- Required Skills
- SQLSnowflakeJiraTableauMicrosoft ExcelData visualizationPowerPointGoogle SheetsGitHub
Requirements
- Have at least 1 year of experience in a data analytics-related role, such as business intelligence, corporate strategy, consulting, or data science.
- Have strong experience analyzing and visualizing large datasets.
- Demonstrate advanced proficiency in SQL.
- Have proficiency in Excel or Google Sheets.
- Be able to aggregate and synthesize complex data and understand fulfillment metrics and operational systems at micro and macro levels.
- Identify anomalies, investigate trends, develop hypotheses, and draw nuanced conclusions from data.
- Have proficiency in PowerPoint or Google Slides and communicate findings through clear, logical narratives.
- Demonstrate ownership and independence in proposing ideas and driving improvements.
- Consumer marketplace or logistics experience is preferred.
- Familiarity with Snowflake or similar data warehouses, GitHub, Jira, and visualization platforms such as Mode or Tableau is advantageous.
- Experience collaborating directly with product and engineering teams on scalable solutions is a plus.
- Exposure to AI-powered analytics tools, including data validation and reproducibility approaches, is an advantage.
Responsibilities
- Monitor retailer performance across fulfillment quality dimensions and develop dashboards and processes to support issue diagnosis and retailer launches.
- Analyze fluctuations, anomalies, and outliers in retailer quality metrics to identify root causes and recommend corrective actions.
- Design and execute analytical plans using large datasets to identify, understand, and reduce fulfillment quality issues.
- Support analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations.
- Help size initiatives for product and analytics roadmaps.
- Present analytical findings through presentations and insights decks for business and technical stakeholders.
- Partner with product, engineering, operations, and other teams to turn data-driven recommendations into scalable process and product improvements.
- Establish proactive monitoring approaches to address emerging quality issues.
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