Full-Time

Analytics Engineer

Confirmed live in the last 24 hours

Tint

Tint

11-50 employees

Integrates insurance into digital platforms

Consumer Software
Fintech
Financial Services

Compensation Overview

$120k - $175kAnnually

+ Equity

Senior

No H1B Sponsorship

Remote in USA

Ideal candidate should be located in the US.

Category
Data Analysis
Data Engineering
Data & Analytics
Required Skills
Redshift
Python
Airflow
R
BigQuery
SQL
Tableau
Business Analytics
Looker
Snowflake
Requirements
  • 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.
Responsibilities
  • 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.

Tint Technologies Inc. specializes in embedded insurance, integrating insurance solutions directly into SaaS platforms and online marketplaces. This allows businesses to offer insurance as part of their existing services, enhancing the user experience and increasing customer trust. Tint partners with capacity providers to deliver white-labeled insurance products, enabling clients to brand these solutions as their own. The company's goal is to transform how insurance is delivered, driving revenue growth for its clients.

Company Stage

Series A

Total Funding

$24.3M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

40%

1 year growth

18%

2 year growth

-8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Tint's recent $25M Series A funding round led by QED Investors positions the company for significant growth and innovation.
  • Strategic partnerships, such as with RVI Group, enhance Tint's ability to offer revolutionary embedded protection programs.
  • Working with high-profile clients like Turo demonstrates Tint's capability to integrate insurance solutions into leading digital platforms.

What critics are saying

  • The embedded insurance market is still emerging, and Tint faces the challenge of educating potential clients on the benefits of their solutions.
  • Dependence on partnerships with capacity providers and insurers could limit Tint's control over product offerings and pricing.

What makes Tint unique

  • Tint specializes in embedding insurance directly into SaaS platforms and online marketplaces, unlike traditional insurers who offer standalone products.
  • Their white-labeled solutions allow clients to brand insurance products under their own name, providing a seamless and customized user experience.
  • Tint's focus on digital integration and user experience sets them apart in the rapidly growing embedded insurance sector.

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