Senior Analytics Engineer

P2P; City Of London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading blockchain analysis company seeks a Senior Analytics Engineer to design scalable data models and collaborate with business stakeholders. You will apply your SQL expertise and dbt experience to enhance data architecture and drive analytics solutions. This role supports remote work and requires 5+ years in analytics engineering. The ideal candidate will have strong Python skills and experience in cloud data warehouses.

Qualifications

• 5+ years of experience in analytics engineering or data engineering.
• Expert-level proficiency in SQL and experience with dbt.
• Strong programming skills in Python for data manipulation.

Responsibilities

• Design and maintain data models and transformation pipelines.
• Collaborate with stakeholders to translate business requirements.
• Own and enhance data architecture within cloud data warehouses.

Skills

SQL

Data modeling

Python

Version control systems (Git)

CI/CD workflows

Data engineering

BI development

Tools

dbt

Databricks

Fivetran

Airflow

Tableau

AWS

Salesforce

Netsuite

Pendo

Job description

Location

Ontario

Employment Type

Full time

Location Type

Remote

Department

Corporate Functions Data & Analytics

The Data and Analytics team (DA) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with stakeholders across Finance, Sales, Marketing, Product, and other business teams to ship data solutions that are trusted, reliable, and transformative. Our goal is to empower employees to do their best work by building the foundational data products that drive business decisions and accelerate Chainalysis’ growth.

As a Senior Analytics Engineer, you’ll play a pivotal role at the intersection of data engineering, analytics, and business strategy. You'll apply software engineering principles—version control, CI/CD, testing, and documentation—to the analytics workflow, building scalable and trusted data models. You are a builder who thrives on transforming complex, raw data into enterprise-grade datasets that enable informed decisions across the organization.

In this role, you’ll:

• 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—to support analytics and business intelligence across the company.
• Collaborate with stakeholders in Finance, Sales, Marketing, and Product to translate business requirements into technical specifications for reliable datasets.
• Apply software engineering best practices, including Git version control, CI/CD, automated testing, and documentation, to ensure data quality and maintainability.
• Own and enhance the data architecture within our cloud data warehouses (Snowflake/Redshift/Databricks), optimizing for performance, scalability, and cost-effectiveness.
• Develop and manage data integrations from source systems (e.g., Salesforce, NetSuite, Pendo) using tools like Fivetran and custom Python scripts.
• Mentor engineers and analysts on advanced dbt data modeling techniques and the effective use of our data stack.
• Contribute to our data governance framework by establishing and enforcing standards for data quality, consistency, and metric definition.

We’re looking for candidates who have:

• 5+ years of professional experience in analytics engineering, data engineering, or BI development, with a 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.
• 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.
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Databricks).
• Proven ability to work cross-functionally, translating ambiguous business questions into well-defined, quantitative solutions.
• Experience with version control systems such as Git and CI/CD workflows.

Nice to have experience

• Experience using AI-assisted IDEs (e.g., Cursor, Windsurf) or AI code assistants to accelerate dbt model development and improve code quality.
• Familiarity with data orchestration frameworks like Dagster or Airflow.
• Experience working in a B2B SaaS environment with an understanding of go-to-market strategies and business metrics (e.g., ARR, LTV:CAC, Customer Health Score).
• An interest in cryptocurrencies and blockchain technology—we can help you learn!

Technologies we use

• dbt
• Databricks
• Fivetran
• Dagster
• Airflow
• Python
• Tableau
• Git
• AWS
• Salesforce
• Netsuite
• Pendo

This position is ineligible for visa sponsorship.

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

You belong here.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.