Data Analyst, Platform Excellence Ops Analytics

Canada - Remote (ON, AB, BC, or NS Only) · Remote · CAD 81,000-85,500 / year · 1+ years experience · Full-time · Remote · Posted Oct 2, 2026

At a glance

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.
Establish proactive monitoring systems that enhance long-term operational excellence and support cross-functional insight needs.

Proactively monitor and resolve retailer performance issues across broad dimensions, building dashboards and processes to simplify problem diagnosis and support new retailer launches.
Track and analyze performance fluctuations and outliers in key Retailer Quality workstream metrics to identify root causes and recommend corrective actions.
Analyze large datasets related to Retailer Fulfillment Quality to derive business insights.
Independently create and execute analytical plans to identify, understand, and reduce fulfillment quality issues with high accuracy and consistency.
Support analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations.
Provide initiative sizing for product and analytical roadmaps.
Create and present insights decks regularly to a cross-functional audience of business and technical stakeholders.
Frame findings as clear logical narratives backed by data that result in actionable recommendations.

1+ 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 Excel or Google Sheets for data analysis.
Ability to aggregate and synthesize large amounts of data, leveraging a deep understanding of micro and macro fulfillment metrics and systems to drive insights.
Strong problem-solving skills with keen attention to detail; able to quickly detect anomalies in performance metrics and trends, form hypotheses for investigation, and draw conclusions through nuanced analysis.
Proficiency in PowerPoint or Google Slides for effective communication.
Ability to work independently with a strong sense of ownership and comfort proposing new ideas to challenge existing processes.

Experience working in a consumer marketplace or logistics business.
Familiarity with Snowflake or similar data warehouses, GitHub, and Jira.
Experience with visualization tools such as Mode or Tableau.
Experience working directly with product and engineering teams on scalable process solutions.
Experience with using AI tools for analytics, including applying methods for data validation and reproducibility