Senior Analytics Engineer

Earnest•Holiday Island, AR

37d•$175,000 - $205,000•Remote

About The Position

Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast. We build tools that help people feel in control of their financial future, including: Private student loans - low rates, people-first service, and flexible payments. Student loan refinancing - break free from high-interest rates or monthly payments. Scholarships - access to thousands of scholarships to help students pay less. Earnies aremitted to helping students live their best lives, free from the stress of student debt. If you're as passionate as we are about our mission, read more below, and let's build something great together! The Senior Analytics Engineer will report to the Senior Manager - Data Platform & Analytics Engineering. As the Senior Analytics Engineer, you will: Transform raw data into well-structured datasets using dbt. Collaborate with analysts, data scientists, and engineers to develop scalable data models that power experiments, ML models, and reporting. Define and implement best practices for data modeling, quality, andernance. Ensure data reliability and accuracy through robust validation and monitoring processes. Develop advanced analytics solutions and dashboards in Looker to give stakeholders actionable insights. Your impact: Enable accurate reporting and analytics by building and maintaining scalable, high-quality data models. Ensure stakeholders have access to trusted insights through improving data reliability,ernance, and monitoring. Empower analysts and data scientists by delivering clean, structured data for ML models, experiments, and reporting. Drive business growth and operational efficiency by optimizing financial reporting, customer analytics, and product insights. Drive data-driven decision-making and innovation by collaborating with cross-functional teams.

Requirements

2+ years of experience in data transformation and task scheduling tools such as dbt and Airflow
2+ years of experience maintaining and building in BI/analytics tools (Looker, Tableau, or similar tooling)
2-3 years of experience with cloud data warehouses, such as Snowflake, Google BigQuery, Amazon Redshift, or similar platforms
Expert-level SQL skills
Experience in the Fintech industry
2+ years of experience working with AWS services (IAM, DMS, Ansible, Terraform, etc.)
Working knowledge of Python

Responsibilities

Transform raw data into well-structured datasets using dbt.
Collaborate with analysts, data scientists, and engineers to develop scalable data models that power experiments, ML models, and reporting.
Define and implement best practices for data modeling, quality, andernance.
Ensure data reliability and accuracy through robust validation and monitoring processes.
Develop advanced analytics solutions and dashboards in Looker to give stakeholders actionable insights.