Senior Data Analytics Engineer

Liberty Mutual Insurance is seeking experienced data analytics engineers to join its Personal Lines Property and Small Commercial Package teams. The role involves designing and developing data solutions, collaborating with stakeholders, and ensuring high-quality data for analysis to support new product launches.

Responsibilities:

• Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis
• Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance
• Implement data quality checks and governance best practices to ensure data accuracy and reliability
• Utilize python, Spark, and SQL queries to extract, transform, and analyze data from various sources
• Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives
• Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities

Requirements:

• Strong written and oral communication skills required
• 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake
• Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
• Master`s in same or related disciplines strongly preferred