Data Analyst, Platform Excellence Ops Analytics
New
J
JobgetherOnline marketplace
Based in CanadaFull-TimeJunior
Salary$81,000–$85,500 CAD
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Job Details
- Experience
- 1+ year of experience in a data analytics-related role
- 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 advanced proficiency in SQL and Excel or Google Sheets.
- Have experience analyzing and visualizing large datasets.
- Be able to aggregate and synthesize complex data and develop an understanding of fulfillment metrics and operational systems.
- Demonstrate problem-solving ability and attention to detail, including identifying anomalies, investigating trends, and developing hypotheses.
- Be able to draw nuanced conclusions from data.
- Have proficiency in PowerPoint or Google Slides and communicate analytical findings through clear, logical narratives.
- Demonstrate ownership and independence in proposing ideas and driving improvements.
- Experience in a consumer marketplace or logistics environment is preferred.
- Familiarity with Snowflake or similar data warehouses, GitHub, Jira, and Mode or Tableau is an advantage.
- 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.
- Work with large datasets and independently design and execute analytical plans to identify 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 as clear narratives for business and technical stakeholders.
- Partner with product, engineering, operations, and other teams to turn recommendations into scalable process and product improvements.
- Establish proactive monitoring to address emerging quality issues.
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