Data Analyst, Instacart

• +1 years of experience in a data analytics-related role (e.g., business intelligence, corporate strategy, consulting, data science, etc.)
• Experience in analyzing and visualizing large datasets
• Advanced proficiency in SQL and Excel/Google Sheets for data analysis
• Ability to aggregate and synthesize large amounts of data and leverage a deep understanding of micro and macro fulfillment metrics and systems to drive insights
• Strong problem-solving skills with great attention to detail; able to quickly detect anomalies in performance metrics and trends, form hypotheses for investigation, and draw conclusions through nuanced analysis
• Proficient in PowerPoint/Google Slides for effective communication
• The ideal candidate will have a knack for identifying unusual patterns, a keen eye for detail, and a passion for investigating problems to determine root causes
• Ability to work independently with a strong sense of ownership
• Comfortable proposing new ideas to challenge existing processes and provide actionable recommendations

Desirable

• In this role, you will be responsible for understanding and improving Fulfillment Quality, as well as transforming insights into impactful actions to drive positive outcomes
• Within the PEO Analytics team, you will play a pivotal role in leveraging operational performance data to diagnose fulfillment quality gaps and provide data-driven recommendations to address these gaps and improve our products and processes
• By spearheading the detection and resolution of quality issues, you'll not only tackle immediate escalations but also establish proactive monitoring systems that enhance our long-term operational excellence
• Your work will also involve supporting cross-functional insight needs to facilitate improvements across multiple areas
• The Platform Excellence Operations (PEO) team is dedicated to improving the quality of Instacart’s online grocery experience for our customers, shoppers, retailers, and the overall marketplace
• The analytics team focuses on identifying, understanding, and eliminating defects in the online grocery experience by analyzing and interpreting operational data
• The team ensures that stakeholders have a consistent understanding of why business performance is changing and advocates for improving poor experiences that may be overlooked
• You’ll be part of a dynamic cross-functional team that collaborates closely with stakeholders to provide critical data insights to enhance our operations and overall customer experience
• As part of the Marketplace & Retailer Pillar within PEO Analytics, you will be working on problems related Fulfillment Quality ranging from cancellation, reschedule, timeliness, etc
• Will will play an essential role in maintaining Instacart’s reputation for reliability and operation excellence by managing the complexities of retailer-level fulfillment quality, from metrics analysis to strategy development
• Our team's success is built on transparency, communication, and the relentless pursuit of solutions that Grow the Pie for all stakeholders involved
• Proactively monitor and resolve retailer performance issues across broad dimensions
• Build dashboards and processes to simplify the problem diagnosis process
• Develop monitoring and support for new retailer launches
• Monitor performance fluctuations and outliers in key performance metrics within the Retailer Quality workstream to understand root causes and recommend corrective actions
• Analyze large datasets related to Retailer Fulfillment Quality to derive business insights
• Support analytics requests, retailer data ad-hoc analyses, retailer launch impact assessments, and retailer escalations
• Provide support in sizing initiatives for product and analytical roadmaps
• Independently create and execute analytical plans to identify, understand, and reduce Retailer Fulfillment Quality issues with high accuracy and consistency
• Create and present insights decks to a cross-functional audience of business and technical stakeholders on a regular basis
• Approach problems with a solutions-oriented mindset and clear logical narratives backed by data that result in actionable recommendations