Manager, Analytics Engineering
Listed on 2026-02-07
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IT/Tech
Data Engineer, Data Science Manager
This range is provided by Beam Benefits. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
About Beam:
Beam was founded in 2012 by three engineers who saw the opportunity to modernize the dental benefits industry using technology. Today, Beam Benefits is a digitally-led employee benefits company that offers dental, vision, life, disability, and supplemental health coverage. The company simplifies and modernizes the $100+ billion ancillary benefits industry through its leading dental insurance product, breadth of ancillary benefits, AI-powered underwriting, diversified distribution channels, and next generation benefits administration technologically-driven customer experience.
Beam is looking for an Analytics Engineering Manager to join our Data & Analytics team. In this role, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Lakehouse model (Data Lake + Data Warehouse). You will design, implement and scale data pipelines that transform data into actionable information that enables decision making.
You will drive initiatives to formalize data governance and quality assurance. You will have a significant part in building a solid data foundation for a data-driven company.
What You Will Bring:
You're a leader with a passion for data, collaboration, and supporting people. You possess a strong knowledge of both data modeling and engineering. You're confident with cloud technologies and infrastructure like AWS. You're comfortable working independently while collaborating across various business and technical teams to deliver scalable solutions. You are unafraid to tackle the unfamiliar and bring clarity to complex concepts.
About Beam:
Beam was founded in 2012 by three engineers who saw the opportunity to modernize the dental benefits industry using technology. Today, Beam Benefits is a digitally-led employee benefits company that offers dental, vision, life, disability, and supplemental health coverage. The company simplifies and modernizes the $100+ billion ancillary benefits industry through its leading dental insurance product, breadth of ancillary benefits, AI-powered underwriting, diversified distribution channels, and next generation benefits administration technologically-driven customer experience.
Beam is looking for an Analytics Engineering Manager to join our Data & Analytics team. In this role, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Lakehouse model (Data Lake + Data Warehouse). You will design, implement and scale data pipelines that transform data into actionable information that enables decision making.
You will drive initiatives to formalize data governance and quality assurance. You will have a significant part in building a solid data foundation for a data-driven company.
What You Will Bring:
You're a leader with a passion for data, collaboration, and supporting people. You possess a strong knowledge of both data modeling and engineering. You're confident with cloud technologies and infrastructure like AWS. You're comfortable working independently while collaborating across various business and technical teams to deliver scalable solutions. You are unafraid to tackle the unfamiliar and bring clarity to complex concepts.
JoiningBeam Benefits Means:
- Working in a complex and dynamic business, simultaneously serving customers across employee benefits insurance product lines and growth and service channels
- Collaborating with a diversely skilled team to continuously improve
- Being empowered as an owner and expert
- Being motivated by improving how people access employee benefits
- Lead data lakehouse initiatives; own the strategy around how we move, store, govern and serve data internally and to our partners.
- Lead coordination efforts with engineering partners to ensure stability and scalability of our Data Lakehouse, including defining standards, requirement gathering, testing, and timelines.
- Serve as a primary data architecture…
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