[Hiring] Analytics Engineer II @Branch Financial, LLC

Role Description

At Branch, we're reshaping the insurance experience with efficient, transparent, member-centered products. As an Analytics Engineer, you'll build the data models, tables and self-service tools that our Accounting, Actuarial and Claims teams rely on, working in SQL and dbt on BigQuery.

You'll join the Analytics Engineering team in Branch's Data Office, reporting to the Senior Manager, Analytics Engineering. Requests come to the team as tickets, and you'll take yours from the question through to production data. As you grow in the role, you'll own a data domain and the stakeholder relationships that come with it.

AI is built into how the team works. Claude Code drafts pull requests inside our dbt project, and the team reviews, corrects and improves what it produces. Branch also moves faster than a large carrier: work that takes a quarter elsewhere ships here in a couple of weeks. That pace is the best part of the job and the biggest adjustment for anyone arriving from a larger company.

This role is ideal for someone who wants to write the code themselves, see their work end to end, and grow quickly.

Key Responsibilities

• Build views, tables, data models, data dictionaries and self-service tools in SQL and dbt, with support from peers and senior members of the Data Office.
• Monitor data quality proactively, prevent unwanted changes and defects, and fix them promptly when they occur.
• Work tickets from Accounting, Actuarial and Claims stakeholders from the request through to production.
• Understand each project's full scope, how it interacts with other projects, and how data flows between them. Advocate for best practices and adherence to service guidelines.
• Review AI-generated code carefully, catch its mistakes, and help the team's AI tools improve over time.
• Collaborate with leaders to implement, refine and document processes and best practices that improve quality and the functionality of our self-service tools.
• Build a working knowledge of how data development works at Branch and of the insurance business behind the data.

Qualifications

• 3+ years of relevant experience in data or reporting development, including data modeling and data quality monitoring.
• Strong, hands-on SQL is required. You have built the models and transformations yourself, not only the dashboards on top of them.
• Experience with dbt is a strong plus.
• Experience with process automation, automated reporting and business intelligence.
• Experience with Python is a strong plus. JavaScript or another programming language is also valued.
• Experience building with AI coding tools, Claude Code in particular, is a strong plus.
• Experience with insurance data, especially claims, accounting or actuarial data, is a plus.
• Comfortable in a fast-paced environment where you own your work from start to finish.

Benefits

• Above-market salary - Branch is a data-driven company, so we do the math on salaries, too. If you get an offer from Branch, you can expect compensation that hits above the mark.
• Pay equity and transparency - Our pay isn’t just market-driven, it’s equitable. We let experience and performance drive your success, never your gender, race, orientation, or beliefs.
• Remote-first (with perks) - Work from where you’re most comfortable. We’ll take care of your work from home set-up and monthly internet. We also have a Columbus headquarters if you’d like to join us in an office.
• Flexible YouTime - We don’t just let you control your own time off. We actually encourage you to use it. After your first year at Branch, we’ll give you $1000 toward your next vacation.
• Employee stock options - You’re not just an employee. If you’re full-time, you’re also a part-owner. You’ll have stock options so you can invest in the company you’re helping to grow.
• Medical, vision, dental - Get all the coverage you need for a healthy, happy life.
• 401k and contribution matching - Invest in your future. Branch helps you get to retirement on time with a portion of your contributions matched each month.