Analytics Engineer

About This Role

This role involves building scalable and efficient data solutions, with a focus on designing and maintaining robust data pipelines. The engineer will transform raw data into actionable insights to support analytics and business intelligence initiatives.

Responsibilities

• Create dashboards and reports that help the business make informed decisions, ensuring data accuracy and clarity
• Work with business and IT teams to gather needs, solve problems, and support new tools or system changes
• Guide teammates on reporting and data work, and share best practices for using data effectively
• Pull and analyze data to support the Long Term Care product and help drive business decisions
• Support business and I/S partners by working with data repositories on platforms like Teradata, Snowflake, AWS,DB2, Oracle and SQL Server

Requirements

• Expert-level proficiency in SQL
• Strong knowledge of dbt
• Hands-on experience with data modeling and modern ELT (Extract, Load, Transform) processes
• Strong analytical, problem-solving, and data interpretation skills
• Experience using SQL, Python, Excel and Tableau
• Report Automation and Process Automation
• Solid understanding of data validation, quality controls, and relational databases (including Teradata, Snowflake, DB2, and SQL)
• Background in business analysis or business intelligence
• Familiarity in data security, risk management, and strategic data management
• Excellent communication and presentation skills
• Ability to consult, collaborate, and provide strategic recommendations independently
• Comfortable working in complex technical environments and translating business needs into data-driven solutions
• Ability to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico

Qualifications

• 6-10 years of Senior Level Experience

Nice to Have

• Knowledge of insurance products, the insurance industry, related legislation, and business operation procedures and practices
• Bachelors Degree in Mathematics, Data Science, Finance, or Economics
• Experience with Microsoft Copilot and Snowflake Cortex
• Experience with Report Automation and Process Automation
• Proficiency in SQL, strong knowledge of dbt, and hands-on experience with data modeling and modern ELT (Extract, Load, Transform) processes

Skills

* Required skills

Benefits