About the role

Senior Data Analyst leveraging deep analytics skills to drive improvements in fraud processes at Instacart. Collaborating with cross-functional teams to implement data-driven strategies and solutions.

Responsibilities

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

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