Principal Data Analytics Engineer, USRM Modeling Data Solutions

Liberty Mutual Insurance; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is on the lookout for experienced data analytics engineers to join their dynamic team. In this pivotal role, you will design and develop cutting-edge data solutions that support the launch of new products and enhance analytical capabilities. Collaborate with data scientists and stakeholders to create tailored analytics solutions while ensuring data quality and governance. This role offers a unique opportunity to leverage your skills in Python, SQL, and Spark to drive impactful change within a purpose-driven organization. If you are passionate about data and eager to mentor others, this could be the perfect opportunity for you.

Benefits

Comprehensive benefits

Continuous learning opportunities

Flexible work environment

Qualifications

• 5-7+ years of experience in data management and analytics.
• Strong communication skills and ability to mentor junior engineers.

Responsibilities

• Lead development of scalable data pipelines and ETL processes.
• Conduct complex data analysis to identify trends and insights.

Skills

Data Analysis

Python

SQL

ETL

Spark

Data Management

Communication Skills

Education

Bachelor’s Degree in Computer Science

Master’s Degree in related disciplines

Tools

Snowflake

Business Intelligence tools

Job description

Pay Philosophy

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description

If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.

Modeling Data Solutions is seeking experienced data analytics engineers to join its small commercial and personal lines teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.

This is a ranged posting, level offered will be based on skills and experience at manager discretion.

This role may have in-office requirements depending on candidate location.

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.
• Gather requirements through collaboration with data scientists, analysts, and business stakeholders to 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, Spark, 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.

Qualifications

• 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.

About Us

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow