Data Analyst, Platform Excellence Ops Analytics
Instacart United States - RemoteEst. Est. USD 100,000–140,000 / yearMid
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Sql
- Snowflake
- Data Science
- Tableau
- Excel
- Consulting
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Why this role is on the menu
The Data Analyst position will play a pivotal role on the PEO Analytics team, leveraging operational performance data to diagnose fulfillment quality gaps, spearhead the detection and resolution of quality issues, and deliver data-driven recommendations that improve Instacart's products and processes. This means not only tackling immediate escalations but also establishing proactive monitoring systems that enhance long-term operational excellence, as well as supporting cross-functional insight needs that drive improvements across multiple areas of the business.
The Platform Excellence Operations (PEO) team is dedicated to improving the quality of Instacart's online grocery experience for customers, shoppers, retailers, and the overall marketplace. The analytics team identifies, understands, and eliminates defects in that experience by analyzing and interpreting operational data, ensuring stakeholders have a consistent understanding of why business performance is changing and advocating for improvements that might otherwise be overlooked.
As part of the Marketplace and Retailer Pillar within PEO Analytics, this role works on fulfillment quality problems ranging from cancellations and reschedules to timeliness, and plays an essential role in maintaining Instacart's reputation for reliability and operational excellence, from metrics analysis to strategy development. You will be part of a dynamic, cross-functional team whose success is built on transparency, communication, and the relentless pursuit of solutions that “Grow the Pie” for all stakeholders involved.
What you'll cook up in your first year
Metrics and Reporting
Retailer performance issues are proactively monitored and resolved across broad dimensions, with dashboards and processes built to simplify problem diagnosis and support new retailer launches.
Performance fluctuations and outliers in key Retailer Quality workstream metrics are tracked and analyzed to identify root causes and recommend corrective actions.
Data Analysis
Large datasets related to Retailer Fulfillment Quality are analyzed to derive business insights, with analytical plans independently created and executed to identify, understand, and reduce fulfillment quality issues with high accuracy and consistency.
Analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations are supported, with initiative sizing provided for product and analytical roadmaps.
Presentations and Communication
Insights decks are created and presented regularly to a cross-functional audience of business and technical stakeholders, with findings framed as clear logical narratives backed by data that result in actionable recommendations.
The secret ingredients we're looking for
Must-have pantry s
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