Data Analyst, Regulatory Analytics and Reporting

kraken.com; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Equal opportunity employer

Ongoing applications

Job summary

Kraken is seeking a senior data analytics engineer to turn complex regulatory data into actionable insights. You will own end-to-end data pipelines, dashboards, and regulatory reports in a fully remote role within a regulated financial services context.

You will work across data engineering, regulatory reporting, and compliance operations, using Python, SQL, dbt, Airflow, and BI tools to deliver audit-ready data for regulators and senior decision-makers.

Qualifications

• 5+ years in data analysis and data management within financial services with compliance exposure.
• Strong SQL and Python, plus dbt and Airflow experience.
• Experience with regulatory reporting and audit-ready data pipelines.
• Ability to translate regulatory and business requests into automated reports.

Responsibilities

• Design and own dashboards, compliance metrics, and reports for regulators and stakeholders.
• Automate end-to-end compliance data solutions and workflows to reduce manual effort.
• Analyze large datasets and build scalable, audit-ready data models for reporting.
• Translate regulatory requests into reports and data pipelines using Python, SQL, dbt, and Airflow.
• Lead cross-functional projects with analysts, engineers, and compliance teams.
• Support data quality monitoring and timely remediation with responsible teams.

Skills

SQL

Python

Data analysis

Data governance

Communication

Workflow orchestration

Education

Degree in Mathematics, Statistics, Finance, Information Systems, or related field

Tools

dbt

Airflow

Power BI

QuickSight / Superset

Job description

Role overview

Turn complex regulatory and compliance data into clear, actionable insights that help the business stay audit‑ready, satisfy regulators, and inform senior decision‑makers. The role sits at the intersection of data engineering, regulatory reporting, and compliance operations within a fast‑paced, high‑scrutiny environment. It is a remote position focused on end‑to‑end data ownership, from pipelines to executive dashboards, in a regulated financial services context.

Responsibilities

• Design and own dashboards, compliance metrics, and regulatory reports that translate data into insights for stakeholders, cross‑functional partners, and regional compliance officers
• Automate end‑to‑end compliance data solutions, governance controls, and workflows to reduce manual intervention and minimize error
• Analyze large, complex datasets and shape them into scalable, audit‑ready data models that support regulatory reporting and analytics
• Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow
• Lead cross‑functional projects with analysts, engineers, and compliance teams to build and maintain high‑quality data pipelines and sources
• Coordinate client data quality monitoring, flag remediation issues, and partner with responsible teams to ensure timely resolution
• Support ad‑hoc data requests for audits, regulatory exams, risk assessments, and day‑to‑day business needs

Requirements

• 5+ years of experience in data analysis and data management within financial services or another regulated industry, with hands‑on exposure to compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID
• Solid understanding of regulatory risk and a track record of operating effectively in high‑scrutiny, audit‑ready environments
• Expert SQL skills including complex joins, CTEs, and analytical functions, paired with Python proficiency using libraries such as pandas, matplotlib, and plotly
• Hands‑on experience with dbt or comparable modeling tools for organizing high‑fidelity data for reporting and decision‑making
• Experience setting up and managing data pipelines with a strong understanding of workflow orchestration
• Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive‑facing dashboards
• Strong communication skills with the ability to simplify complex data ideas for both technical and non‑technical audiences

Nice to have

• Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field
• Passion for continuous learning and approaching problems with a beginner's mindset
• Solid understanding of the cryptocurrency space and how financial markets function

Benefits and work setup

• Fully remote position
• Equal opportunity employer with fair‑chance hiring practices
• Applications accepted on an ongoing basis unless a specific deadline is stated