Job Application for Analytics Engineer at Tint

About Tint

Tint enables SaaS platforms and marketplaces to unlock growth and improve profitability through embedded insurance. We offer plug-and-play and white-labeled integrations, equipping brands we partner with a sophisticated mix of technology infrastructure, services, and deep industry expertise. Embedded insurance can transform insurance from a product bought separately to a feature of brands consumers love and we are on a mission to make that happen.

Happy Tint customers include Turo, Deel, uShip, Guesty, Neighbor, BabyQuip, and CitizenShipper, among others.

We've raised $30M and are backed by world-class investors such as Y Combinator, QED, Deciens, Nyca, Plug and Play, WIN, Soma Capital, and Pioneer Fund.

About the role

As a Senior Analytics Engineer, you will play a critical role in our data-driven decision-making process, connecting data engineering and analytics. You’ll ensure data is high quality, accessible, and ready for analysis while designing, building, and maintaining scalable data infrastructure. You’ll collaborate closely with cross-functional teams including data scientists, analysts, and product managers to ensure insights are delivered efficiently. This is a hands-on technical position with opportunities to influence our data strategy and architecture, ensuring we extract the full value of our data to inform key business decisions.

What you will do

Your responsibilities will include:

Design and implement robust, scalable data pipelines to ensure the efficient flow and accessibility of data across teams.
Design, develop and optimize data models to support business analytics, reporting, and decision-making.
Partner with data scientists, analysts, product managers and engineers to ensure alignment between business goals and data initiatives.
Create and maintain documentation for the data infrastructure, models, and processes.
Work on improving data quality, accessibility, automation and observability within the data ecosystem.
Lead initiatives to integrate new data sources and optimize existing ones.
Mentor and guide junior team members on best practices for data engineering and analytics.

You should apply if you have...

5+ years of experience in analytics engineering, data engineering, business analytics, actuarial science or a similar role.
Strong proficiency with SQL and experience in building and optimizing data models for business reporting.
Hands-on experience with ETL processes and data pipeline orchestration tools (e.g., Airflow, Windmill, dbt).
Expertise with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
Proficiency in one or more programming languages such as Python or R is a big plus.
Knowledge of BI tools (e.g., Omni, Tableau, Looker) and how they interact with underlying data models.
Strong analytical mindset with a passion for solving complex data problems.
Excellent written and verbal English language communication skills and experience working with cross-functional teams.
Ability to work in a fast-paced, collaborative environment.

What We Value Most in a Candidate

Culture is Key. Our team is remote first. We are a diverse, global team that works well together, even when we aren't in person. We are looking for self-motivated candidates who can stay motivated and focused. But don't worry, we're still social! We work collaboratively even though we are remote and travel to team and company retreats throughout the year.
Focused on Results. We are a fast-moving small team with big goals. We need team players that feel a sense of urgency to drive meaningful results for the business. We have clear company goals and a pathway to significant growth - and this role is integral to that journey.
Customer-first. Put yourself in the shoes of someone trying to buy our solution. We need a person who can empathize with our customers and help create strategies to continually improve the customer experience.
Adaptability. We're still an early-stage start-up, and things change quickly. If you are energized by learning and discovering on-the-go, this will be an excellent fit for you. We are looking for open-minded candidates that adapt well to changing environments as our company grows and scales.

Why Tint?

Tint isn’t just focused on transforming the entire insurance industry - we have ambitious goals, value merit and open communication, celebrating diversity and unique ideas. At Tint, we support your personal and professional growth by offering the below benefits:

Flexible Working. With team members working across time zones, we are outcome-focused and give our people the flexibility they need to do their best work. To support flexible working, we’ll give you a stipend to get your home office dialed in and we’ll also reimburse you for co-working space memberships.
Flexible Time Off. It's pretty simple: we don't control the days and hours that each of us works, so we're free to manage our time however we want to achieve the goals and deliverables we committed to. We have unlimited vacation time. Use it whenever you need to recharge!
Competitive Compensation. In addition to a competitive salary, you’ll receive equity as part of your offer. We’re all owners - when Tint succeeds, we all succeed! We also help you maximize your money by offering an FSA and a 401(k).
Comprehensive Healthcare. Tint covers 100% of employee (and dependent!) premiums for medical, vision and dental.
Company Retreats to Exciting Locations. We meet in person as a company twice a year to make sure we have time to connect in real life and get to have those conversations that are better done in person. These retreats are a mix of business and fun and we always choose a cool, central-ish location - think Barcelona, Playa del Carmen, Mallorca… Add on a few days of your flexible time off and you’ve *almost* got a free vacation somewhere cool!

Location

This role is fully remote, however our ideal candidate is located in the US. Please note that at this time Tint is unable to support candidates who require employer visa sponsorship.

Pay transparency

It is Tint’s intent to pay all employees competitive wages and salaries that are motivational, fair and equitable. The goal of Tint’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage employees to stay with our organization.

This role will receive a competitive base salary, benefits, and equity. The applicable salary range for each US-based role is based on where the employee works and is aligned to one of 3 tiers based on the cost of labor for that geographic area. The expected hiring salary ranges for this role are set forth below.

Tier 1 (Bay Area, NYC, LA, Seattle) = $140,000 - $175,000
Tier 2 (Boston, Austin, Chicago, Denver, San Diego, DC) = $126,000 - $157,000
Tier 3 (Rest of the US) = $120,000 - $148,750

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.

Resources

We are committed to building a diverse and inclusive company. We welcome people of different backgrounds, experiences, abilities, and perspectives. We seek to create a culture where everyone can belong because we believe that people do their best work when they can show up daily as their authentic selves.

Tint is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Tint considers qualified applicants with criminal histories consistent with federal, state, local, and international law. In our job application procedures, Tint is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. Please let your recruiter know if you need assistance or accommodation due to a disability.

Analytics Engineer