Analytics Engineer

About the Company
We are a mission-driven fintech platform providing socially responsible financial services. Our goal is to enable students from over 150 countries to access top global universities by financing their international postgraduate education. Our innovative, borderless model assesses future earning potential rather than current financial circumstances, helping expand access to life-changing opportunities.

Since our founding, we have funded tens of thousands of students and facilitated billions in loans, supported by a global network of impact-focused investors seeking both financial and social returns.

The Role

Our Data Team owns the analytical data layer that supports portfolio analytics, reporting, funding operations, and credit risk. The team manages several business-critical systems built on a modern cloud data stack.

As a Data Analytics Engineer, you will work closely with senior team members to build and maintain ETL pipelines, data models, and reporting workflows. This is a hands-on role with real ownership, where you will contribute to improving the reliability and quality of data systems used across the business.

You will collaborate with stakeholders across functions such as risk, operations, compliance, and finance.

Key Responsibilities

Support the design and development of data solutions
Build and maintain ETL pipelines using SQL and Python
Work with cloud data warehouse technologies and version-controlled workflows
Adapt data pipelines to evolving business and data requirements
Document data processes, testing approaches, and results
Support reporting and dashboard development
Assist with automated reporting workflows
Investigate data issues and ensure data quality
Use AI-assisted development tools to improve productivity

What We’re Looking For

Strong SQL skills and understanding of data modeling
Attention to detail and analytical rigor
Problem-solving ability and clear communication
Comfort working in a fast-paced, evolving environment
Ownership mindset and willingness to learn
Experience with version control workflows
Practical use of AI coding tools

Required Experience

3+ years in data engineering or analytics engineering
Strong SQL and Python experience
Experience with cloud data warehouses
Familiarity with version control systems
Experience working in remote or distributed teams

Nice to Have

Experience with data transformation tools (e.g., dbt)
Exposure to financial or regulated environments
Experience with production ETL pipelines
Knowledge of data quality frameworks
Experience with BI/reporting tools

Why Join Us

Work on systems that directly impact key business decisions
Take ownership of meaningful, high-impact projects
Collaborate with a skilled and supportive team
Operate in a remote-first, flexible environment
Contribute to a mission-driven organization focused on global impact

Benefits

Competitive compensation
Health-related benefits
Fully remote working
Generous leave policy, including annual, parental, and sabbatical leave

Our Culture
We are driven by a strong mission to expand access to education globally. Our culture emphasizes:

Accountability and ownership
Collaboration and clear communication
Continuous learning and improvement
Bias toward action and impact
Curiosity, experimentation, and growth