Research Marketing Analyst – Predictive Modeling at Stripe

Company Overview Stripe is a financial infrastructure platform for businesses. Millions of companies of all sizes—from startups to Fortune 500s—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. At Stripe, we believe that great ideas can come from anywhere. We foster a culture of innovation and collaboration, and we are committed to building a diverse and inclusive workforce. We are proud to be a fully remote-first company, enabling our employees to work from anywhere in the USA and build a fulfilling career with flexibility and work-life balance. We provide our remote team members with the resources and support they need to thrive, including comprehensive benefits, opportunities for professional development, and a vibrant virtual community. Position Summary Stripe is seeking a highly motivated and experienced Research Marketing Analyst specializing in Predictive Modeling to join our growing marketing team. This is a fully remote position, offering the opportunity to work from anywhere in the United States. As a Research Marketing Analyst, you will play a key role in leveraging data and predictive modeling techniques to improve marketing effectiveness and drive business growth. You will be responsible for developing and implementing predictive models to forecast customer behavior, optimize marketing campaigns, and identify new opportunities for targeting and personalization. This role requires a strong analytical background, expertise in statistical modeling, and excellent communication skills. Key Responsibilities Develop and implement predictive models to forecast customer behavior, including churn, lifetime value, and purchase propensity. Analyze large datasets from various sources, including marketing campaigns, website analytics, and customer databases. Collaborate with marketing teams to identify key business questions and translate them into actionable analytical projects. Design and execute A/B tests to optimize marketing campaigns and improve conversion rates. Develop and maintain dashboards and reports to track marketing performance and communicate insights to stakeholders. Present findings and recommendations to marketing leadership and cross-functional teams. Stay up-to-date on the latest trends and best practices in predictive modeling and marketing analytics. Participate in virtual team meetings and contribute to a collaborative remote work environment. Required Qualifications Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field. 3+ years of experience in a marketing analytics or data science role. Proven experience developing and implementing predictive models using statistical software such as R or Python. Strong understanding of statistical modeling techniques, including regression, classification, and clustering. Experience with data visualization tools such as Tableau or Looker. Excellent communication and presentation skills, with the ability to explain complex analytical concepts to non-technical audiences. Ability to work independently and manage multiple projects simultaneously in a remote environment. Proficiency in using remote collaboration tools such as Slack, Zoom, and Google Workspace. Technical Requirements As a fully remote employee, you are required to maintain a suitable home office environment with the following: Reliable high-speed internet connection with a minimum upload/download speed of 25 Mbps. Dedicated workspace free from distractions. Ergonomic desk and chair setup. Company-provided laptop and necessary software. A home office stipend is provided to assist with setting up your workspace. Availability to work during core business hours in the Pacific Time Zone (PT). Desired Skills Master's degree in a related field. Experience with cloud computing platforms such as AWS or Google Cloud. Experience with machine learning techniques. Experience with marketing automation platforms such as Marketo or HubSpot. Familiarity with the payments industry. Strong collaboration skills to effectively work within a geographically distributed team. Proactive communication skills to stay connected with team members and stakeholders. Compensation & Benefits The annual salary range for this fully remote position is $110,000 - $150,000, commensurate with experience and location. Stripe offers a comprehensive benefits package, including: Medical, dental, and vision insurance Paid time off and holidays Parental leave 401(k) plan with company match Equity Professional development opportunities Home office stipend Internet reimbursement Virtual team-building activities and events Opportunities for occasional travel to company events (optional). How to Apply If you are a talented and passionate Research Marketing Analyst with a strong background in predictive modeling and a desire to work remotely, we encourage you to apply. Please submit your resume and cover letter through our online application portal. Our virtual onboarding process ensures a smooth transition into our remote team. We look forward to hearing from you!