About the PositionWe are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations. You'll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses.
Are you a
curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
What You'll Be Doing:- Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
- Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
- Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
- Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
- Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
- Monitor data quality, investigate discrepancies, and improve the reliability of our data.
- Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.
What We're Searching For:- 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
- Strong SQL skills.
- Experience working with relational databases and data warehouses.
- Experience with Python or another scripting language.
- Familiarity with dbt or a desire to learn modern analytics engineering tools.
- Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).
We Prefer If You Have:- Knowledge of data modeling and analytics engineering best practices.
- Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
- Experience with Git and version control.
- Familiarity with Airflow, Dagster, or other workflow orchestration tools.
- Experience working with financial services, lending, payments, or product analytics data.
- Experience in a startup or other fast-paced, high-growth environment.
What We Offer- Salary Range: $180k - $220k
- Equity grant
- Medical, dental & vision insurance
- Unlimited PTO
- Work from home flexibility
- Commuter benefits
- Free lunches
- Paid parental leave
- 401(k)
- Employee assistance program
