Senior Analytics - Strategy and Analytics
Novo Platform Inc
- United States
- United States
À propos
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. Office in NYC We are looking for a technically minded Senior Analyst to power decision making at Novo. This role sits at the intersection of data systems and business strategy and will partner closely with cross functional teams in credit, growth, marketing, and banking. You will define and execute strategy based on rigorous data analysis that will be used to understand, run, and grow Novo's business. About the Role:
As a Senior 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 building the data models and insights that unlock our teams to acquire more customers (account volume), increase customer lifetime value (NPV), and drive customer engagement on our platform. You will be responsible for:
Driving commercial impact. Proactively finding value through analysis to "put money on the table" Embodying and driving our hypothesis driven, testing culture Technical data modeling. Owning the last mile of data transformation, using DBT to build production-grade data models that turn raw data into clean usable datasets for yourself and for stakeholders Influencing and improving Novo's data culture through systems, processes, training, and governance that level us up Improve and optimize our best-in-class modern data stack that powers decision making and insight generation Requirements for the Role: 4 - 6 years of experience in analytics, data engineering, or data science, ideally within a high-growth tech or fintech environment Advanced SQL proficiency (ideally Snowflake) with the ability to write complex, highly optimized queries (CTEs, window functions) and debug performance issues Business strategy experience. A proven ability to partner with non-technical stakeholders, translating complex data into actionable business recommendations Exposure to data modeling & transformation (dbt). Hands on experience building production-grade data models, testing logic and maintaining code via version control Familiarity with BI tools (preferably Metabase) and experience with design and maintaining dashboards Highly motivated and comfortable working in a fast-paced, dynamic environment with a high degree of ambiguity. Bachelor's degree in a quantitative field such as Economics, Engineering, Statistics, Mathematics, Computer Science, or related discipline. How We Define Success: You generate commercial impact. You don't report the news; you make the news. You identify and execute projects that directly result in positive net income decisions (i.e. optimized marketing spend, improving credit risk models, or increasing customer LTV) You demonstrate the ability to self start: taking a vague business question, scoping the requirements, building the necessary data models, and delivering the final insight without needing significant guidance You become a trusted partner for the leaders in our business, proactively answering 'what's next' rather than reacting to requests Nice To Have, but Not Required: Experience in the fintech or banking industry. Proficiency in Python (pandas, numpy) for complex statistical analysis or data manipulation beyond SQL capabilities Specific experience with Fivetran, Heap, Snowflake, and dbt. Strong opinion on analytics engineering development cycle (data modeling, version control, documentation, testing & best practices) Familiarity with machine learning techniques and their application in business contexts. Experience with customer segmentation and lifecycle analysis.
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.
Compétences linguistiques
- English
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