Senior Data Analytics Engineer

Liberty Mutual Insurance is seeking experienced data analytics engineers to join its personal lines auto teams. The role involves designing and developing data solutions for research and development, collaborating with stakeholders, and providing data support for new product launches.

Responsibilities:

• Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs
• Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders
• Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions
• Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security
• Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting
• Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data
• Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities
• Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration

Requirements:

• Strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS
• 5+ years of experience in data analysis, product/business analytics, or data engineering
• Proven experience managing analytics or data projects and coordinating cross-functional workstreams, with demonstrated ability to deliver on time and communicate progress to varied audiences
• Practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective)
• Experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making
• Excellent communication skills and the ability to work with technical and non-technical stakeholders
• Domain experience in personal lines Auto, Property, or other insurance product areas
• Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes
• Strong written and oral communication skills required
• Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
• Master`s in same or related disciplines strongly preferred
• 5-7+ 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
• 5-7+ years experience as developer with top quadrant Business Intelligence tools