Sr Data Analyst analyzing Firefox Gecko telemetry for Mozilla’s browser performance strategy. Building dashboards, sanitizing telemetry, and linking engine performance to user behavior.
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
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
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