Senior Data Analyst

CertiK Data Analyst

Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem.

Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.

About the Role

The primary responsibility of this role is to build/maintain ETL pipelines & process large datasets from APIs/databases/third-party platforms to enable real-time team analytics and automate data preprocessing (cleaning/normalization/validation) for client accounts using rule-based logic/statistical checks to ensure data quality & prepare analysis-ready datasets for modeling/reporting.

Responsibilities

• Develop data models to extract/classify/summarize metadata from unstructured documents to forecast market dynamics & support data-driven strategy.
• Design interactive Tableau dashboards to visualize KPIs/trends/progress & interpret key patterns to support data-driven decisions for stakeholders.
• Conduct data analysis on large datasets & apply segmentation/clustering/regression/EDA to support client management/market intelligence/pricing strategies.
• Collaborate with business/product/finance/engineering teams to translate business challenges into data projects (e.g., churn prediction, sales funnel analysis) & provide growth/retention recommendations to leadership.

Requirements

• Master of Science in Data Science, Business Analytics, or a related field
• Minimum 1-year work experience in large-scale data processing/quality management/predictive modeling & working with cloud-based data platforms (Databricks, AWS)/Agile environments using project management tools like Jira/Confluence
• Expertise in designing interactive dashboards with Tableau
• Familiar with Scikit-learn/XGBoost/LightGBM/NLP
• Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL) & ETL tools (Apache Airflow)

Target annual salary compensation for this role performed is $110,000 to $125,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.

CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.

CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.