Responsibilities

• Support the execution and measurement of growth marketing initiatives across channels, including email and in-product experiences, with a focus on customer acquisition, engagement, and retention.
• Analyze marketing, customer, and business data to identify trends, measure performance, and uncover opportunities to improve campaigns and customer experiences.
• Support A/B testing and other marketing experiments, helping evaluate results and translate findings into actionable recommendations.
• Apply AI and automation tools to improve analysis, research, campaign execution, reporting, and team workflows.
• Partner with cross-functional teams to support coordinated, data-driven growth initiatives.
• Analyze customer journeys, segmentation, conversion, and marketing KPIs to better understand how marketing activity influences customer and financial outcomes.
• Stay current on emerging approaches in AI, analytics, and growth marketing, identifying opportunities to test new tools and methods.
• Demonstrate AI proficiency by regularly applying AI tools to improve everyday productivity, quality, and efficiency.

Requirements

• Bachelor’s degree in Marketing, Finance, Economics, Business Analytics, Statistics, Data Analytics, Computer Science, or related field.
• Relevant professional experience; internships and relevant academic or project experience are applicable.
• Strong analytical and problem-solving aptitude, with the ability to interpret data, identify patterns, and draw logical conclusions.
• Proficiency in Excel or Google Sheets and comfort working with structured datasets.
• Working knowledge of AI-powered tools and an ability to apply them effectively to research, analysis, productivity, or problem-solving.
• Strong written and verbal communication skills, attention to detail, and ability to work effectively with cross-functional teams.
• Demonstrated interest in marketing and finance/fintech, with curiosity about how data and technology can influence customer and business outcomes.

Preferred

• Exposure to SQL or data visualization tools such as Power BI.
• Internship, coursework, or project experience related to marketing, data analytics, or finance.
• Familiarity with digital analytics, CRM, or marketing automation tools.
• Exposure to A/B testing, customer segmentation, or campaign measurement.
• Languages always desirable within our global business

Benefits

• benefits package
• flexible work options for work/life balance
• volunteer time off