About Us:At Parafin, we’re on a mission to grow small businesses.Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools  to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.Join us in creating a future where every small business has the financial tools they need.About the PositionWe are looking for a Data Analytics Engineer to organize and activate Parafin’s ecosystem of data. You will be responsible for architecting business-critical datasets used across the company. You will drive alignment between teams by ensuring all of Parafin can be pointed to the same sources of truth. What You’ll Be Doing:<ul><li>You will foster a data-driven culture by ensuring everyone has easy access to trustworthy and complete data</li><li>You will interface between data engineering and end users to help improve our data tooling and development velocity</li><li>You will define and enforce our data best practices - data modeling, testing, version control, and cataloging</li><li>You will build efficient, modular, flexible, and reliable datasets that can unlock insight for stakeholders across the business — whether for analytic, machine learning, or operational purposes</li><li>You will identify gaps in how we collect data today, and work with engineering teams to ensure we are measuring the things that we need to measure about our customers and our product</li></ul>What We’re Searching For:<ul><li>2+ years of experience in Data Analytics or similar role</li><li>You are deeply experienced with SQL, and are able to write efficient queries</li><li>You collaborate well with data, engineering, product, and business functions</li><li>You care deeply about the quality and correctness of your work</li><li>You are comfortable managing competing and shifting priorities and can organize your own work to accomplish multiple tasks</li><li>You are excited about working on a small team and setting the foundations for how data is used at Parafin</li><li>You have a bachelors degree in a technical discipline</li></ul>We Prefer If You Have:<ul><li>Experience building and maintaining data pipelines</li><li>Familiarity with “modern data stack” tools and technologies, such as Databricks, Airflow, DBT, and Reverse ETL</li><li>Experience working with both technical and non-technical stakeholders</li><li>Experience identifying and communicating data-derived insights</li></ul>What We Offer<ul><li>Salary Range: $175 - $200k</li><li>Equity grant</li><li>Medical, dental &amp; vision insurance</li><li>Unlimited PTO &amp; work from home flexibility</li><li>Commuter benefits</li><li>Free lunches</li><li>Paid parental leave</li><li>401(k)</li><li>Employee assistance program</li></ul>If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.