Senior Data Analyst, Fraud and Identity

requirements and successfully navigate audits Collaboration on Roadmaps: Work with Product, Data Science, and Xfn Analytics teams to understand growth and risk factors related to new and future fraud vectors.Operational Data Analysis: Analyze shopper behavioral signals to identify anomalous patterns indicative of fraud or policy abuse. A/B Testing & Experimentation: Design and conduct A/B and multivariate tests by developing test plans, defining success metrics, analyzing, and transforming data into actionable insights Xfn Collaboration: Collaborate with the Engineering and Product team to instrument new product features and ensure great event tracking and data integrity. Automation and Reporting: Build automated reporting systems to keep operations leaders informed of trends, variations, and opportunities across geographies and teams. In this role, you’ll play a critical part in transforming how teams across North America leverage data to deliver exceptional performance and create industry-leading customer, shopper, and retailer experiences. About You Minimum

Qualifications Minimum 6 - 8 years of analytical experience, preferably in payments,fraud or identity domains Ability to Identify potential root causes contributing to potential change(s) in metrics and provide recommendation on mitigation strategy Strong analytical mindset with a track record of resolving complex transaction issues. High proficiency in SQL, with experience writing complex queries, joins, and optimizations. Experience with R/Python (fluency in at least one language preferred) Experience with analytical visualization tools such as Mode, Tableau, Looker, Periscope or similar tools Understanding of A/B testing and other forms of statistical analysis using statistical packages Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences Ability to work effectively with internal stakeholders, including data scientists and data engineers. Work cross functionally with Product, Engineering, Operations to drive changes Excellent teamwork skills and desire to help others learn High level of accountability and ownership – driven and focused self-starter Strategic mindset – the ability to think ahead of where the company is at now Experience in e-commerce, CNP payments, finance, SaaS, digital goods or marketplace industry. Experience in driving understanding of customers and their interaction with products, through in-depth analyses of user behavior and engagement Preferred

Qualifications Experience in Fraud, Reconciliation, Identity or Transaction Risk field Experience working with authentication, anti-fraud systems and checkout, tools or vendors Advanced degree in statistics or other quantitative fields Experience with experimentation, Data modeling, ETL and data pipeline development experience Proficiency with AI tools (e.g., Claude, ChatGPT, Copilot) and a demonstrated ability to integrate them into day-to-day workflows. #LI-Remote Instacart provides highly market-competitive

compensation and

benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for

the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our

benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $133,000 — $140,500 CAD

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