Senior Analytics Engineer

The Analytics Engineering team provides all parts of Fin's business with the right set of accurate and up-to-date data tables that form the basis of all of our most important operational and strategic data-driven decisions. The team uses their deep knowledge of how GTM and Product teams work to anticipate their data needs. They use their deep technical expertise to design the right data models and reliably turn these models into high-quality core data assets in our data warehouse. The team are experts at driving data model efficiencies and solving data quality issues at their root cause.

This team is the glue between all of our Analyst teams and our Data Infrastructure teams. They speak everyone's language and make everything go faster.

If you’re interested in a Analytics engineering career at Fin, apply today.

• Partnering with the data infrastructure engineering team to understand and help evolve and maintain our data warehouse and the ELT that feeds it.
• Build a best in class data platform to drive critical business decisions
• Partnering with all of our internal analyst teams to understand the questions they are trying to answer and help them arrive at the right answers.
• Simplify and improve data collection and reporting processes to automate manual workflows and eliminate manual dependencies
• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements

• 3+ years experience working as an Analytics Engineer
• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Zuora
• Familiarity with Python

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.  

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.