Business Data Analyst

CertiK•New York, NY

2d•$80,000 - $93,000

About The Position

Youâre a self-starter. You believe in tackling the most important problems, even if they are the most difficult problems. Youâre comfortable with the unknown and understand that startup life means that youâre going to be wearing multiple hats. And thatâs what motivates you. Youâre accountable and obsessed with improvement, both in yourself and in others. Youâre up to the challenge of building a world-class company that aims to be the infrastructure for more secure software for all. About the Company CertiK leads blockchain security by securing smart contracts and blockchains with cutting-edge Formal Verification technology. Founded by Computer Science professors of Yale University and Columbia University, CertiK has audited and secured over $500B in assets, including many of the worldâs top blockchain projects.

Requirements

Bachelorâs degree in Finance or a related field.
In-depth knowledge of Crypto/DeFi, including tokenomics/staking mechanisms/DeFi protocols/blockchain ecosystems.
Strong ability to develop Excel-based financial models, including three-statement forecasting & company value projection using WACC/FCFF.
Must be skillful in designing/implementing automated data-cleaning workflows for large-scale datasets, BI tool integration & dashboard development.
Proficient in Python/R/SQL/Tableau/Databricks/Excel VBA.

Responsibilities

Collaborate with cross-functional teams, including executive leadership/external clients, to evaluate project feasibility/investor readiness/budget planning & deliver data-backed recommendations on strategic initiatives.
Engage with on-chain activity by interacting with crypto wallet addresses using decentralized applications (dApps) & blockchain-based services to support crypto-forward initiatives.
Analyze large-scale financial/operational/market datasets to support complex business strategies & executive decision-making using statistical models.
Research/consolidate industry data from public/proprietary sources, normalize unstructured BI data & integrate external benchmarks with internal KPIs via custom scripts/automation tools.
Design/implement advanced financial models for efficiency optimization/dynamic pricing/budget forecasting, along with detailed variance/industry analysis.
Develop statistical/time series models to forecast service pricing/customer behavior patterns & integrate scenario analysis to support strategic decision-making.
Build interactive dashboards/automated pipelines to visualize financial/operational metrics.