We started Novo to challenge the status quo— we’re on a mission to build the operating system to destroy the back office, so small businesses (SMB’s) can do more of what they love. Novo is flipping the script of the FinTech world, and we’re excited to lead the small business FinTech revolution.
We are looking for people of character. Pragmatic and capable people who want to see their work drive better outcomes for small businesses — the backbone of our economy. You will join our team and work on the building blocks of everything Novo ships.
Why Novo?
- Novo is a rapidly growing series B fintech startup with a mission-driven team that’s passionate about helping every small business in America
- Positive, inclusive, supportive culture cheering you on your journey
- We work with very new technologies and architecture patterns
- We provide learning and development budgets to help you grow and bond with your team
- Able to work from the office 3+ days per week
- Offices in NYC, Miami, India, and Colombia
We are looking for a Senior Data Analyst who understands how to slice and dice, analyze, and interpret data. If you're passionate about modern data tools, business intelligence, and solving complex business problems with thoughtful analytical data solutions then we want to chat. Are you ready to revolutionize the small business banking industry with us?
About the Team:
The Data Analytics team at Novo partners with business teams across functional areas such as Product, Finance, Customer Success, Credit, and Marketing to identify mission critical business problems and provide data-based solutions and insights. These could vary from real-time dashboards for better monitoring to strategic analytical projects for better strategy & decisioning, depending on the complexity of the business problem and the recommended solution.
About the Role:
As an Data Analyst at Novo, you will play a crucial role in driving data-driven strategies across our entire product suite. Your primary focus will be on inculcating a test-and-learn culture to enhance customer acquisition (account volume), customer lifetime value (NPV), and customer engagement on our platform.
- Designing and conducting experiments to test hypotheses related to product features, marketing strategies, and lending initiatives.
- Analyzing data to generate actionable insights that inform product roadmap, marketing spend, and lending capital investments.
- Collaborating with cross-functional teams, including Product, Marketing, and Lending, to implement and evaluate data-driven initiatives.
- Identifying new opportunities for growth and efficiency improvements through rigorous data analysis and strategic thinking.
- Taking ideas from concept (0) to market (1) to get real-world feedback and refine strategies based on actual performance.
Requirements for the Role:
- Bachelor’s degree in a quantitative field such as Economics, Statistics, Mathematics, Computer Science, or related discipline.
- 3-4 years of experience in data analysis, business intelligence, or a similar analytical role.
- Intermediate or Advanced experience in SQL
- Strong analytical skills with the ability to interpret complex data sets and provide actionable recommendations.
- Experience with A/B testing and experimental design.
- 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
How We Define Success:
- Effective design and execution of data-driven experiments that lead to measurable improvements in customer acquisition, lifetime value, and engagement.
- Successful collaboration with cross-functional teams to implement strategies and initiatives that align with business objectives.
- Proactive identification of growth opportunities and efficiency improvements through rigorous analysis and strategic insight.
- Achievement of key performance indicators (KPIs) related to customer growth, engagement, and profitability.
Nice To Have, but Not Mandatory:
- 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.
Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.
Novo values diversity as a core tenet of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.
