Data Analyst, Platform Excellence Ops Analytics
About the OpportunityThe Platform Excellence Operations (PEO) Analytics team is seeking a Data Analyst, Platform Excellence Ops Analytics to leverage operational performance data, diagnose fulfillment quality gaps, spearhead the detection and resolution of quality issues, and deliver data-driven recommendations that enhance products and processes.Operating within the Marketplace and Retailer pillar, this role addresses fulfillment quality challenges ranging from cancellations and reschedules to timeliness. The position is responsible for establishing proactive monitoring systems, supporting cross-functional insight needs, and identifying root causes to maintain reliability and operational performance across the marketplace.This is a full-time, remote position based in the United States.Key ResponsibilitiesProactively monitor and resolve retailer performance issues across broad dimensions, building dashboards and operational processes to streamline problem diagnosis and support new retailer launches.Track and analyze performance fluctuations and outliers across key retailer quality metrics to identify root causes and recommend corrective actions.Analyze large datasets related to fulfillment quality to derive business insights, independently designing and executing analytical plans to identify, understand, and reduce quality issues.Support analytics requests, ad hoc partner analyses, launch impact assessments, and partner escalations, while providing initiative sizing for product and analytical roadmaps.Create and deliver presentations to cross-functional audiences of business and technical stakeholders, framing analytical findings into clear logical narratives with actionable recommendations.Required Qualifications1+ years of experience in a data analytics-related role, such as business intelligence, corporate strategy, consulting, or data science.Experience analyzing and visualizing large datasets.Advanced proficiency in SQL and spreadsheet software (Excel or Google Sheets) for data analysis.Ability to aggregate and synthesize large volumes of data, utilizing a strong understanding of micro and macro fulfillment metrics and systems to generate actionable insights.Strong problem-solving skills with high attention to detail, including the ability to detect performance anomalies, formulate testable hypotheses, and reach conclusions through nuanced analysis.Proficiency in presentation tools (PowerPoint or Google Slides) for effective communication.Ability to work independently with strong ownership and comfort proposing new ideas to challenge existing processes.Preferred QualificationsExperience working in a consumer marketplace or logistics business.Familiarity with Snowflake (or similar data warehouses), GitHub, and Jira.Experience with data visualization platforms such as Mode or Tableau.Experience collaborating directly with product and engineering teams on scalable process solutions.Experience utilizing AI tools for analytics, including applying methods for data validation and reproducibility.Compensation and BenefitsThe base pay range for this role depends on the candidate's permanent geographic location within the United States. Offers are determined by candidate experience, skills, and other job-related factors. The role is also eligible for a new hire equity grant, annual refresh grants, and comprehensive benefits.Base salary ranges by location:California, New York, Connecticut, New Jersey: $113,000—$119,500 USDWashington: $109,000—$115,000 USDColorado, Delaware, District of Columbia, Hawaii, Illinois, Maine, Maryland, Massachusetts, New Hampshire, Oregon, Pennsylvania, Rhode Island, Texas, Vermont, Virginia: $104,000—$110,000 USDAll other states: $95,000—$100,000 USD