Senior Data Analyst, Fraud and Identity

🕒 May 12

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

eCommerce • Transport • Retail

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Ownership of Data Analysis & Visualization: Monitor and improve critical KPIs such as fraud costs, chargeback volume, fraud rates and revenue leakage • Strategic Communication: Regularly communicate outcomes and insights to cross-functional stakeholders, including senior leadership, to guide strategic decision-making for process and performance improvement • Development of Single Source of Truth (SSOT) Dashboards and Reporting Models: Work alongside DS & Broader Fraud & Identity analysts to implement robust models in DBT and Snowflake, and design dashboards that provide a unified view of business-critical Shopper fulfillment, Shopper Payment and PoS (point of sale) Checkout data • 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Highly market-competitive compensation and benefits • Remote work options • New hire equity grant • Annual refresh grants