Senior Data Analyst
@ CertiKSenior Data Analyst
This job is still taking applications, but it's been up a while.
About the job
CertiK specializes in blockchain security, offering audits, threat detection, and analytics. Founded in 2017, it supports global clients with a focus on data processing and security solutions.
Requirements
- Master's in Data Science or related
- 1+ years in data processing
- Experience with Tableau dashboards
- Knowledge of Python, SQL, ETL tools
- Familiar with cloud platforms
Qualifications
- Degree in data-related field
- Strong data analysis skills
- Experience with cloud platforms
- Ability to collaborate cross-functionally
Full job description
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.
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.
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