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 FinTech platform for small businesses (SMBs). 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
As an Analyst, Strategy and Analytics 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. You will be responsible for:
- 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.
- 2-4 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
- Based out of our New York or Miami office, and willing to come into the office at least three times a week.
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 Required:
- 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.
Salary Range (NYC): 100-120K annualized salary. This range is not inclusive of discretionary bonus or equity package, offers to be determined based on experience, education and skill set. The range for this same position may be lower or higher in markets outside of New York City.
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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.
