Manager, Analytics Engineering

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.

Joining Beam 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

What You Will Do:

• 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 resource who will help drive decisions on tooling, testing, and process to improve data quality.
• Support the analytics engineering tech stack, keeping pipelines running and maintaining infrastructure. 
• Manage a team of analytics engineers, coaching them in their desired career paths.
• Mentor analytics in their desire for increased technical proficiency. 
• Define and manage SLAs for data sets that support production services. 
• Design, build, and own data pipelines and warehouse systems that deliver information that drives the business forward.
• Ingest multiple internal and external systems into our data lake using batch and streaming concepts. 
• Implement an Incident Response Framework to handle situations that disrupt data availability to the business.
• Work with business domain experts to translate business processes and knowledge into data models that are understandable and used across the company.
• Partner with data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy in order to enable self-service through BI tools.
• Work with analytics and business teams to build predictive analytics solutions using machine learning.

What Skills Will Help You Be Successful:

• 5+ years of experience working as an analytics engineer, data engineer or data scientist (leading ETL work); 1+ year managing a team
• Deep technical proficiency in dbt, SQL, Dagster, Fivetran, Google Bigquery, Git Orchestration, Census, and Python; Data visualization tools (e.g., Looker), SalesForce, Docker, Buildkite, and Ruby are a plus. 
• Strong knowledge with data modeling methods and approaches (partitioning, star and snowflake, dimensional modeling) and capable of scaling over time.
• Experience coordinating with engineering teams to maintain stability of data pipelines. 
• Excellent communication skills; ability to work cross functionally with teams of various technical levels and drive a collaborative culture.
• Strong technical and people leadership skills. 
• Recent accomplishments working with object, relational, and columnar data stores such as Redshift. 
• Experience working in a Test Driven Development environment with Python, Java, or other data-oriented programming languages.
• Familiarity with data governance frameworks, SDLC, and Agile methodology.
• An understanding of containerization technologies and orchestration tools.
• Experience working in a healthcare technology environment is a plus.
• Also open to considering a Staff Analytics Engineering position if applicant is not interested in management track.

Compensation and Benefits:

Beam offers a competitive base salary paired with an attractive variable compensation structure.

Employees benefit from performance-based bonuses and incentives, along with a comprehensive benefits package that includes health, dental, and vision insurance. Additionally, Beam provides a 401(k) plan with company matching, flexible time off, and the opportunity to participate in the equity program.

The base pay actually offered will take into account internal equity and budget for the open position and also may vary depending on the candidate’s job-related knowledge, skills, and experience, among other relevant factors. This range does not include an estimated value for any benefits, bonus, or other incentives that may be applicable based on position.