AI Data Analyst

Who are we?

Finance teams need clear visibility into their cash flow, but most still rely on Excel to manually track data across multiple bank accounts. This makes it hard to see real-time cash positions, spot trends, and drive smarter financial decisions.

Nilus changes that.

We're building an AI-powered cash management platform that gives finance teams real-time cash visibility, forecasting, and reconciliation—all powered by AI, eliminating manual work and unlocking insights that help businesses grow.

Backed by top VCs like Bessemer, Felicis, BTV, and Symbol, Nilus is a fast-growing fintech startup led by a team of ex-fintech pros passionate about transforming the finance function.

What We’re Looking For:

We’re looking for a Data Analyst to join our growing AI team. You’ll work on analyzing and interpreting data to drive insights that create real value for finance professionals. As part of a cross-functional team, you’ll work closely with product managers and engineers to deeply understand customer and product needs, identify trends and pain points, and support development of AI-driven solutions that are both effective and scalable.

What you’ll be doing:

Design and implement statistical analyses and data models to improve financial predictions and analytics.
Work with structured and unstructured financial data, leveraging Python, SQL, and LLM tools.
Evaluate model performance, present findings to stakeholders and decision-makers, and recommend improvements.
Explore new data sources and conduct proof-of-concepts (POCs) to identify opportunities for enhancing the product and AI solutions.

Your qualifications:

Bachelor's degree in a quantitative field (Statistics, Engineering, Life Science, or related).
5+ years of hands-on experience in data analysis.
Proficiency in Python (Pandas, NumPy) and strong SQL skills for data manipulation and analysis, familiarity with LLM tools.
Strong statistical foundations and ability to translate data insights into actionable business recommendations.
Ability to clearly measure, explain, and present model performance to decision-makers, offering alternatives when necessary.
Experience in finance or financial data analysis (a plus).

If you are excited about this role and think you would be a great fit, we'd love to hear from you!