Analyst Advanced Analytics

Job Locations US-MA-Boston | US-Remote | US-WA-Seattle | US-TX-Plano
ID
2024-67717
Position Type
Full-Time
Minimum Salary
USD $65,600.00/Yr.
Maximum Salary
USD $122,400.00/Yr.
Typical Starting Salary
$75,000 - $100,200
Flexible Time Off Annual Accrual - days
15
Application Deadline
01/05/2025

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

The USRM Claims Data Science team is hiring two Analyst, Advanced Analytics, roles as part of a broader expansion of our team. One role will focus on Property claims, and the other role will focus on Auto Physical Damage claims.

 

Claims data science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims data science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage!

 

As an Analyst, Advanced Analytics, you will measure the impact our teams’ models are having on business results, gain experience collaborating with business partners, and get deep exposure to the technologies used by data scientists and the predictive modeling lifecycle.

 

Responsibilities:

  • Build systems to evaluate and monitor the performance of in-market models.
  • Translate quantitative analyses and findings into accessible visuals.
  • Collaborate with data scientists to design A/B tests and interpret their results as we pilot new models.
  • Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results.
  • Gain experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
  • Assist in customizing analytic solutions to specific client needs.
  • Query data to conduct ad hoc analyses of metrics.
  • May assist data scientists with parts of developing new models, potentially including feature engineering, data acquisition, and hyperparameter tuning.
  • May utilize statistical techniques to solve business problems. May utilize, update and adapt predictive modeling tools and/or focus on the application of the tools.

Must haves:

  • Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent.
  • Good programming skills in python and SQL.
  • Communication skills that enable collaboration with data scientists and business partners.
  • Ability to think critically about business processes and how our models affect business results

Nice to haves:

  • Experience with technologies often used by data scientists, including SAS, Snowflake, Airflow, S3, EC2, and PowerBI

This is a remote position, candidate reside within 50 miles from the hub will be required to go to office twice a week. Please note this policy is subject to change.

Qualifications

  • Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent.
  • Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem).
  • Must have good planning, analytical, decision-making and communication skills.
  • Knowledge of data sources, tools and common statistical principals.
  • Understanding of intricacies of business supported is helpful.
  • Understands how actions tie to systems capabilities and flow through to our financials/business drivers.
  • Ability to learn how to build simple tools and queries for others to use.

About Us

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

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

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://LMI.co/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

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