Senior Analytics Engineer

About the Company:

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

About the team

The Analytics Engineering team bridges the gap between data engineering and data analysis. We're responsible for building and maintaining data infrastructure, designing efficient data pipelines, and developing robust data models that power Data Science across the organization. Our team transforms raw data into reliable, accessible datasets that enable data-driven decision making throughout the organization.

Due to our unique growth model, we need a high-performing Analytics Engineering team capable of managing the vast amounts of complex data generated by our products and operations. World's privacy-maximizing approach imposes unique restrictions on how data is collected, stored, and used, making analytics engineering innovations critical to provide the team with useful data models. We have earned a reputation for our technical expertise, hands-on approach, responsiveness, precision, and impactful solutions.

About the role

We're looking for a talented and motivated Senior Analytics Engineer to join our Analytics Engineering team. You'll focus on understanding business requirements, developing and maintaining dbt models, assisting stakeholders with BI queries, enhancing data model performance, and documenting and refactoring existing pipelines.

In addition to working closely with the Data Engineering and Data Science teams, you will collaborate with teams across the broader organization, including Economic Operations, Fraud & Risk Analytics, Product, Engineering, Blockchain Protocol, etc. Your work will directly shape the quality and speed of data-driven decision-making at World.

This is an ideal opportunity for candidates with at least 4 years of experience who are ready to grow professionally, take ownership of projects, and excel in a dynamic environment that offers both autonomy and significant impact.

In this role, you will:

• Develop and maintain performant dbt models in Snowflake for all departments across the company.

• Collaborate closely with a high-performing team of data scientists, data engineers, blockchain engineers, statisticians and economists.

• Work with an exciting, massive dataset, including product (e.g., user in-app behavior, notifications, experiments), blockchain transactions, operations, fraud models, and customer support data.

• Write and support SQL queries in Metabase used by teams across the company

• Monitor and improve performance of analytical queries and pipelines

About you:

• Bachelor's or Master's degree in Engineering, Physics, Mathematics, Statistics, Computer Science, or a related quantitative field

• 4+ years of experience in analytics engineering or data engineering

• Strong SQL skills, and experience working with Snowflake

• Hands-on experience with dbt and GitHub workflows

• Ability to learn quickly, work independently, and take ownership of tasks

• Clear communicator with a knack for writing clean, maintainable code and documentation

• Start-up experience or experience working in lean, fast-paced environments

Location:

Onsite in San Francisco

By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR.

Pay transparency statement (for CA based roles):

The reasonably estimated base salary for this role at TFH ranges from $204,000 - $220,000 plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more