Hybrid Compliance Data Analyst (SQL & Python)

Crypto; United States; Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Annual leave

Internal mobility program

Crypto.com visa card

Job summary

Crypto.com is seeking a Compliance Data Analyst to join the Global Regulatory Reporting team. You will leverage SQL and Python to automate data workflows and ensure accurate regulatory submissions across multiple jurisdictions.

The role requires strong data analytics, collaboration across time zones, and proactive documentation of data processes. Hybrid work model with competitive benefits and growth opportunities.

Qualifications

• Write efficient SQL queries across large datasets with accuracy.
• Experience using Python or similar languages for data processing or automation.
• Proficient in English, with clear communication in a global environment.
• Strategic and structured approach to problem solving.
• Highly organized with strong attention to detail.
• Cross-functional project exposure across time zones.
• Exposure to regulatory/tax reporting in financial services is a plus.
• Understanding of cryptocurrencies or strong interest to learn.

Responsibilities

• Write SQL queries to extract data for regulatory reporting and validation.
• Prepare and deliver data for global regulatory obligations (e.g., EMI, MiFID).
• Track and update tasks in Jira / provide status updates.
• Apply Agile/SCRUM methodologies to manage workflows.
• Document data processes and ensure clarity and consistency.
• Collaborate with Global Compliance and stakeholders across time zones.
• Support process improvements and tool adoption.
• Other duties as assigned.

Skills

SQL

Python

Data analysis

APIs

Tools

Jira

Job description

Crypto.com is seeking a Compliance Data Analyst to join the Global Regulatory Reporting team. You will leverage SQL and Python to automate data workflows and ensure accurate regulatory submissions across multiple jurisdictions.

The role requires strong data analytics, collaboration across time zones, and proactive documentation of data processes. Hybrid work model with competitive benefits and growth opportunities.