Data Analytics Engineer

Parafin is on a mission to grow small businesses by providing them with essential financial tools. The Data Analytics Engineer will build and scale data models and analytics infrastructure to support decision-making across the company, partnering with various teams to enhance data-driven solutions.

Responsibilities

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

Preferred

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

Data modeling

Databricks

Snowflake

BigQuery

Cloud data platforms

Git

Version control

Airflow

Dagster

Workflow orchestration tools

Financial services

Lending

Product analytics data

Startup experience

Benefits

Equity grant

Medical, dental & vision insurance

Unlimited PTO

Work from home flexibility

Commuter benefits

Free lunches

Paid parental leave

401(k)

Employee assistance program

Company

Financial infrastructure for platforms offering small-business financing and tools

San Francisco, California, USA

https://www.parafin.com/

Founded in 2020

51-200 employees

Qualifications

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)

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

1–3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.

Required skills

SQL, Python, Relational databases, Data warehouses, dbt, Looker, Tableau, Sigma, Mode, Data modeling, Databricks, Snowflake, BigQuery, Git, Airflow, Dagster, Financial services data, Lending data, Payments data, Product analytics

Preferred skills

Experience with Git and version control

Experience

1+ years