Lead Analytics Engineer

Symetra has an exciting new opportunity to join us as a Lead Analytics Engineer !

About the role

As a Lead Analytics Engineer, you will play a key role in shaping the way Symetra uses data. You'll be responsible for designing and maintaining clean, reliable, and well-modeled datasets that serve as the foundation for analytics across the organization. As a subject matter expert in Symetra's data models, you'll provide technical leadership, mentor junior engineers, and contribute to the growth of our analytics teams. You'll also identify and drive opportunities to build impactful data products that support and accelerate business objectives.

What you will do

• Design, build, and deploy advanced data models to support a wide range of use cases across various products and business domains
• Develop and maintain the data analytics platform, contributing to its overall technical architecture and design
• Solve complex data integration challenges using efficient ETL patterns, scalable frameworks, and effective query techniques, working with both structured and unstructured data sources
• Build a strong understanding of Symetra's products, workflows, and business context to proactively identify and enable future analytics opportunities
• Provide technical leadership by promoting best practices, standardizing techniques, and guiding the broader Data Analytics community

Benefits and Perks

We don't take a "one-size-fits-all" approach when it comes to our employees. Our programs are designed to make your life better both at work and at home.

• Flexible full-time or hybrid telecommuting arrangements
• Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6%
• Paid time away including vacation and sick time, flex days and ten paid holidays
• Give back to your community and double your impact through our company matching

Want more details? Check out our Symetra Benefits Overview

Compensation

Salary Range: $125,000 - $208,400 plus eligibility for the company annual bonus program.

Who You Are:

• High School Diploma is required
• A degree in Computer Science, Engineering, Mathematics, or a related field-or equivalent professional experience (5+ years)-is strongly preferred
• You bring expert-level skills in SQL and proficiency in Python, R, or similar programming languages
• You have hands-on experience with dbt for data transformations and a strong understanding of data modeling and large-scale data environments
• You're comfortable working with imperfect or messy data and can derive meaningful insights from it
• You have a solid grasp of ETL development and data warehousing concepts
• You excel at collaborating with both technical team members and business partners to design effective data solutions
• You're curious, eager to learn, and communicate clearly and confidently across diverse audiences

We empower inclusion.

At Symetra, we aspire to be the most inclusive insurance company in the country. We're building a place where every employee feels valued, respected, and has opportunities to contribute. Inclusion is about recognizing our assumptions, considering multiple perspectives, and removing barriers.

We accept and celebrate diverse experiences, identities, and perspectives, because lifting each other up fuels thought and builds a stronger, more innovative company. We invite you to learn more about our efforts here.

Creating a world where more people have access to financial freedom.

Symetra is a national financial services company that helps people achieve their financial goals and have confidence in the future. We value transparency and sustainability, providing competitive products and clear communication. Our commitment to DEI means we support our communities and prioritize financial freedom for all.

For more information about our careers visit https://symetra.eightfold.ai/careers.

Work Authorization

This role does not offer employer work visa sponsorship or support. Applicants need to be authorized to work in the United States at hire and throughout their employment.

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