Senior Data Analytics Engineer

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 personal lines auto 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 role may have in-office requirements dependent upon 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.
• 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.
  
  

The Ideal Candidate Will

• Have strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS. Experience with dbt or Databricks is a plus.
• Demonstrate 5 years of experience in data analysis, product/business analytics, or data engineering.
• Possess 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.
• Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
• Be experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making.
• Have excellent communication skills and the ability to work with technical and non-technical stakeholders.
  
  

Preferred Qualifications

• 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.
  
  

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 NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack.
• 5-7 years experience as developer with top quadrant Business Intelligence tools.
  
  

About Us

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.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco