World
Senior Analytics Engineer
Join our team at
World , a network of real humans powered by privacy-preserving proof‑of‑human technology and a globally inclusive financial network that enables the free flow of digital assets for all. World 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 build and maintain data infrastructure, design efficient data pipelines, and develop robust data models that power Data Science across the organization. Our work transforms raw data into reliable, accessible datasets that enable data‑driven decision‑making throughout the company.
About the Role We’re looking for a talented and motivated Senior Analytics Engineer to join our 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. You will collaborate with Data Engineering, Data Science, Economic Operations, Fraud & Risk Analytics, Product, Engineering, Blockchain Protocol, and more. This is an excellent opportunity for candidates with at least 4 years of experience who are ready to 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!
#J-18808-Ljbffr
World , a network of real humans powered by privacy-preserving proof‑of‑human technology and a globally inclusive financial network that enables the free flow of digital assets for all. World 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 build and maintain data infrastructure, design efficient data pipelines, and develop robust data models that power Data Science across the organization. Our work transforms raw data into reliable, accessible datasets that enable data‑driven decision‑making throughout the company.
About the Role We’re looking for a talented and motivated Senior Analytics Engineer to join our 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. You will collaborate with Data Engineering, Data Science, Economic Operations, Fraud & Risk Analytics, Product, Engineering, Blockchain Protocol, and more. This is an excellent opportunity for candidates with at least 4 years of experience who are ready to 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!
#J-18808-Ljbffr