Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.
What is the opportunity?
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.
What will I be doing?
- 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
What skills do I need?
- 5+ 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
Nice to haves
- 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
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary and equity in a fast-growing start-up
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- Regular compensation reviews - we reward great work!
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
- Pension scheme & match up to 4%
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Flexible paid time off policy
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
#LI-Hybrid
Policies
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.