Senior Data Analyst- Growth + CX

Novo • New York, NY

7h

About The Position

About Us: Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution. At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. About the Role : We are looking for a Senior Data Analyst, Growth + CX who understands how to leverage data to drive strategic initiatives and optimize business outcomes. If you are motivated to use data to revolutionize small business banking and improve customer acquisition, lifetime value, and engagement, then we want to chat. Role Summary: As a Senior Data Analyst, Growth + CX at Novo, you will be a key analytical partner to the Marketing, Growth and CX teams. Your primary focus will be to drive the analytical strategy for customer acquisition and retention, championing a rigorous test-and-learn culture to enhance performance across all marketing channels, ultimately increasing customer lifetime value and engagement. You’ll help ensure that how customers feel is as measurable and actionable as how they convert.

Requirements

• Bachelor’s degree in a quantitative field such as Economics, Engineering, Statistics, Mathematics, Computer Science, or related discipline
• 5-7 years of experience in data analysis, business intelligence, or analytical marketing role
• Proficiency in SQL
• Strong familiarity with Marketing and CX principles, data, trends, and innovation. Including brand, affiliate marketing, SEM, SEO, and CRO
• Strong analytical skills with the ability to interpret complex data sets and provide actionable recommendations
• Experience with A/B testing and experimental design
• Experience building forecast models or response curves
• Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders
• Highly motivated and comfortable working in a fast-paced, dynamic environment with a high degree of ambiguity

Nice To Haves

• Experience in the fintech or banking industry
• Proficiency in Python
• Familiarity with machine learning techniques and their application in business contexts
• Experience with customer segmentation and lifecycle analysis
• Exposure to VoC (Voice of Customer) tools

Responsibilities

• Designing and conducting experiments to test hypotheses related to core product features and marketing strategies
• Digging deep into data sets to find insights critical to our future success
• Bridging the gap between how upstream strategies impact lower funnel results
• Overseeing go to market launches from a data pipeline and results perspective
• Collaborating with cross-functional teams, including CX, Product, Marketing, and Banking Operations, to implement and evaluate data-driven initiatives
• Identifying new opportunities for growth and efficiency improvements through rigorous data analysis and strategic thinking
• Mapping end-to-end customer journeys using behavioral, transactional and feedback data
• Analyzing and creating CX metrics to surface patterns and tie CX to business outcomes
• Translating qualitative customer feedback into structured, actionable insights

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level