Senior Trust & Safety Analyst - Mailchimp

Job Overview

Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.

Mailchimp solves one of the largest challenges small businesses face – getting customers. For two-thirds of small businesses, finding new customers is their biggest obstacle and over 25% struggle to retain existing ones. 13M businesses use Mailchimp to grow their business, and the combination of QuickBooks and Mailchimp will enable the next horizon of transformative innovation. Through the combined offering, small businesses will be able to grow and manage their business with one platform, enabling Mailchimp to offer unparalleled performance to its customers.

Our team is seeking a seasoned Trust & Safety Analyst to join our ranks. In this pivotal role, you will analyze data to provide insights into the performance of production-scale LLMs utilized for content creation through Mailchimp's products. You will also analyze data and identify emerging trends of product abuse and fraudulent activities.

Intuit’s image is consistently one of the most trusted by consumers and this position is expected to help maintain the trust, authenticity and safety of our platform for our customers. You’ll cultivate a deep understanding of our suite of products and bring industry best practices as it relates to trust & safety to address large scale problems related to issues such as product abuse, violations of Acceptable Use Policies (AUP), AI and other emerging risks. As we continue to grow our capabilities, You’ll also play a critical role in supporting the development and monitoring of analysis tools, rule engine integrations, and implementing stronger controls that improve our overall posture within the content moderation space.

Responsibilities

• Analyze data and provide insights into the performance of LLM’s used for creating content using Mailchimp’s products.
• Analyze data and provide insights into emerging trends of product abuse and fraudulent behaviors.
• Work with Data Engineers to define requirements for new data sources.
• Proactively identify and communicate data anomalies to stakeholders to ensure timely action and resolution.
• Visualize and communicate your findings clearly by building Tableau dashboards.
• Deliver verbal and written briefings to senior/executive leaders and key stakeholders.
• Collaborate and influence cross-functional partners (policy teams, product management, data analytics, operations, engineering, algorithms) to identify, assess and resolve related issues in our products.
• Stay updated on trust & safety trends, emerging fraud threats, and new system/tools to help bolster platform and product risk prevention/detection capabilities

Qualifications

• 4+ years of experience analyzing data in domains such as cybersecurity, digital products, service operations, e-commerce marketplace, customer care, finance, and marketing.
• 4+ years of experience building dashboards using Tableau/Looker or any other visualization tool.
• Extensive SQL experience, particularly in your current role.
• The ability to simplify stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders.
• Excellent problem-solving skills and end-to-end, systems-oriented quantitative thinking.
• Outstanding communication skills with both technical and non-technical colleagues.
• Proactive and inquisitive learner: seeks out and capitalizes on opportunities to enhance the business, rather than reacting to circumstances.
• Strong organization, time management, and task prioritization skills.
• The ability to work independently and make decisions with little direction.
• Familiar with using Github.
• Bachelor’s Degree in Computer Science, Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, a related field or equivalent work experience. Master’s Degree preferred.