Counterpart is hiring a
Analytics Engineer

Summary

Join Counterpart as an Analytics Engineer and contribute to our modern management & professional liability insurance platform. As a prolific individual contributor, you will bridge the gap between Data Engineering, the broader Data & Analytics team, and the rest of the business by leveraging your technical expertise and understanding of business goals.

Requirements

• Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field)
• Experience with a modern (JSON-heavy) data warehouse and version control (e.g. Git)
• Experience building and maintaining scalable data models, including relevant documentation and training
• Experience with various business intelligence tools (Looker, Tableau, PowerBI)
• Excellent communication skills and ability to translate messages depending on the stakeholder
• Python + SQL need to have some projects using both
• Attention to detail and curiosity related to data
• Strong theoretical knowledge but pragmatic focus on action

Responsibilities

• Building and managing reporting data models and infrastructure in Snowflake and related ETL / data engineering tools
• Building basic reports for all major stakeholders (underwriting, data entry/operations, claims) in Looker
• Training team members on how to leverage and/ update data models as necessary
• Building automation related to reporting, such as monthly bordereaux (monthly reports sent to carriers)
• Supporting the integration and production of new data sources in a manner that minimizes development cycles while maximizing potential business applications
• Building and maintaining relevant documentation and data dictionaries for the organization to ensure scalable knowledge

Benefits

• Unlimited Vacation
• Work from Anywhere
• Stock Options
• Health, Dental, and Vision Coverage
• 401(k) Retirement Plan
• Parental Leave
• Home Office Allowance
• Book stipend
• Professional Development Reimbursement
• No working birthdays
• Charitable Contribution Matching