[Remote] Senior Analytics Engineer at Chainalysis

Ontario, Canada

Chainalysis Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Business Intelligence, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of professional experience in analytics engineering, data engineering, or BI development, with a proven record of shipping data products to production. Expert-level proficiency in SQL and deep experience with data modeling techniques, especially building and optimizing complex data models in dbt for scalable analytics use cases, are required. Extensive hands-on experience building, testing, and deploying dbt projects in a complex business environment, strong programming skills in Python for data manipulation and automation, and experience with modern cloud data warehouses like Snowflake, BigQuery, or Databricks are also necessary. Proven ability to work cross-functionally, translating ambiguous business questions into well-defined, quantitative solutions, and experience with version control systems such as Git and CI/CD workflows are essential. Experience with AI-assisted IDEs, data orchestration frameworks like Dagster or Airflow, and familiarity with B2B SaaS environments and go-to-market strategies are considered a plus.

Responsibilities

The Senior Analytics Engineer will design, develop, and maintain robust, scalable data models and transformation pipelines using dbt and SQL, with a special emphasis on expert-level data modeling in dbt. They will collaborate with stakeholders to translate business requirements into technical specifications for reliable datasets, and apply software engineering best practices, including Git version control, CI/CD, automated testing, and documentation, to ensure data quality and maintainability. This role involves owning and enhancing data architecture within cloud data warehouses, optimizing for performance, scalability, and cost-effectiveness, and developing and managing data integrations from source systems using tools like Fivetran and custom Python scripts. Additionally, the engineer will mentor other engineers and analysts on advanced dbt data modeling techniques and the effective use of the data stack, and contribute to the data governance framework by establishing and enforcing standards for data quality, consistency, and metric definition.

Skills

dbt
SQL
Data Modeling
Git
CI/CD
Automated Testing
Documentation
Snowflake
Redshift
Databricks
Fivetran
Python
Data Architecture
Data Governance
Analytics
Business Intelligence
Data Engineering
Software Engineering Principles

Chainalysis

Cryptocurrency investigation and compliance solutions

About Chainalysis

Chainalysis provides tools and services for investigating and ensuring compliance in the cryptocurrency space. Their products help law enforcement agencies, regulators, and businesses identify and prevent illegal activities involving digital currencies. The company offers subscription-based software solutions that deliver actionable intelligence and analytics, allowing clients to maintain the integrity of their financial operations. Unlike many competitors, Chainalysis focuses specifically on building trust in blockchain technology by promoting transparency and security in cryptocurrency transactions.

New York City, New YorkHeadquarters
2014Year Founded
$522MTotal Funding
SERIES_FCompany Stage
Government & Public Sector, Fintech, Crypto & Web3Industries
501-1,000Employees

Risks

Stablecoin rise threatens traditional remittance services, impacting Chainalysis' financial sector clients.
Blockchain security vulnerabilities challenge Chainalysis' comprehensive security solutions.
Persistent use of crypto mixers complicates Chainalysis' tracking and prevention efforts.

Differentiation

Chainalysis offers comprehensive anti-money laundering software for Bitcoin businesses.
Its REACTOR tool visualizes data and identifies offenders in cryptocurrency transactions.
Chainalysis provides real-time API for transaction-based risk scoring and compliance.

Upsides

Rising stablecoin adoption increases demand for Chainalysis' blockchain analytics.
Public-private partnerships in crypto crime prevention boost Chainalysis' investigative tool demand.
Emerging markets like Syria offer new opportunities for Chainalysis' compliance services.

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