Analytics Engineer

About the position

Branch is on a mission to empower workers with financial freedom. We do this by helping companies accelerate payments and providing working Americans with accessible, free financial services. We're committed to building and delivering more inclusive, transparent, and frictionless financial products. Our goal of empowerment extends to our own employees, too. Have a great idea? Share it today and it might just get implemented tomorrow. As a member of our team, your voice and creativity matter-and they can directly impact our products, company, and culture. We not only focus on attracting great talent from across the country, but also on building teams that help that talent thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together. Come join our team as we develop new ways to improve the lives of working Americans.

Responsibilities

• Craft and maintain scalable, efficient data models to power business applications and analytics, adapting to growing data demands.
• Continually refine data models and architecture for enhanced performance and quality, aligning with changing business needs.
• Proactively address data challenges to boost business outcomes, using data-driven insights.
• Enhance our data platform with best practices for improved performance, consistency, and accuracy.
• Champion the latest data technologies and methodologies, staying ahead of industry trends to elevate team productivity and platform functionality.
• Work closely with various teams, leveraging data to drive strategic decisions and foster a culture of data-driven excellence.

Requirements

• At least 3 years of experience in a related role as an Analytics Engineer.
• At least 3 years of experience in crafting complex, highly optimized, and readable SQL queries, demonstrating excellence in database management and data manipulation.
• Solid background in the payments sector, with comprehensive knowledge in payment processing, fraud detection, risk management, and financial data analytics.
• Skilled in data modeling, with a strong understanding of data warehousing principles and best practices.
• Solid experience with DBT, and analytics engineering best practices. Experience with our data stack, including Snowflake, DBT, GitHub, Secoda, and Looker, is highly desirable.
• Bachelor's degree in Computer Science, Data Analytics, or a closely related field, or an equivalent combination of education and experience.

Nice-to-haves

• Familiarity with leading-edge tools and technologies in the data landscape.

Benefits

• Branch-paid medical, dental, and vision insurance
• Remote-first (domestic USA)
• Equity
• 401k
• Flexible time off
• Paid company holidays
• Paid parental leave (eligible after 6 months of employment)