Senior Analyst, Retention & Customer Insights

Liberty Mutual Insurance; Seattle (WA); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Comprehensive benefits

Workplace flexibility

Professional development opportunities

Job summary

Liberty Mutual Insurance is seeking a senior analyst for the Cross-USRM Analytics and Enablement team to synthesize operational and customer survey data and uncover drivers of retention. You’ll present insights to senior leaders to shape retention strategies and service improvements.

The ideal candidate has strong analytical and technical skills with experience in Snowflake, SAS, Excel, and qualitative data, plus the ability to explain complex concepts across functions.

Qualifications

• Bachelor's degree plus 3+ years of analytics experience.
• Quantitative fields such as math, economics or statistics preferred.
• Advanced knowledge of data sources, tools, statistical principles and methodologies.
• Strong planning, analytical, decision-making and communication skills.

Responsibilities

• Performs complex analysis within Snowflake/SAS with strategic impact on business operations and/or functional groups.
• Utilizes quantitative and qualitative data within the Customer Research space to drive insights and uncover customer pain points.
• Synthesizes data from internal and external sources to produce meaningful observations and recommendations.
• Present findings and recommendations and leads discussions with senior leadership at the functional or department level.
• Works with non-traditional data sources across departments.
• Provides advanced operational consulting support and improves reporting as necessary.

Skills

SQL

Snowflake

Python

Cortex

Education

Bachelor's degree

Quantitative field preferred

Tools

Excel

PowerPoint

SAS

Emblem

Job description

Liberty Mutual Insurance is seeking a senior analyst for the Cross-USRM Analytics and Enablement team to synthesize operational and customer survey data and uncover drivers of retention. You’ll present insights to senior leaders to shape retention strategies and service improvements.

The ideal candidate has strong analytical and technical skills with experience in Snowflake, SAS, Excel, and qualitative data, plus the ability to explain complex concepts across functions.