Senior Analytics Engineer

Summary

Join Earnest, a company dedicated to making higher education more accessible and affordable. As a Senior Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights, collaborating with various teams to build scalable data models and dashboards. You will ensure data reliability and accuracy, empowering stakeholders with trusted information to drive business growth and innovation. This role requires extensive experience with data transformation tools, BI/analytics tools, and cloud data warehouses, along with expert SQL skills. The position offers a competitive salary, comprehensive benefits, and a flexible work environment with a hybrid remote/in-office model. Earnest fosters a culture of drivers, humility, and growth mindset, valuing diversity and inclusion.

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

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, and governance
• Ensure data reliability and accuracy through robust validation and monitoring processes
• Develop advanced analytics solutions and dashboards in Looker to give stakeholders actionable insights
• 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, governance, 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

Preferred Qualifications

• Experience in the Fintech industry
• 1-2 years experience working with financial systems and/or financial data
• 2+ years of experience working with AWS services (IAM, DMS, Ansible, Terraform, etc.)
• Working knowledge of Python

Benefits

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave
• Flexible remote work options with 3 days a month in the Oakland office