Senior Analyst, Advanced Analytics, Cross-USRM Analytics

Liberty Mutual•Boston, MA

About The Position

The Senior Analyst will join Liberty Mutual’s Cross-USRM Analytics and Enablement team in the Experience Research department, supporting initiatives in retention and customer research. The role combines operational and customer survey data to identify what drives customer retention and turns complex, unconventional data into clear insights for senior leaders. The ideal candidate is curious, analytically and technically strong, comfortable working with varied data sources and tools, and able to explain complex concepts to audiences across functions and levels. The role includes complex analysis in Snowflake and SAS, quantitative and qualitative customer research, synthesizing internal and external data, and presenting recommendations to senior leadership. It also provides advanced operational consulting support and improves reporting as needed. In-office requirements apply to employees located within 50 miles of Portsmouth, New Hampshire; Boston, Massachusetts; Seattle, Washington; or Plano, Texas.

Requirements

Bachelor’s degree plus a minimum of 3 years of experience, typically 4 or more years, or equivalent.
Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
Advanced proficiency in Excel, including VBA, macros, scripts, formulas, and data visualization; PowerPoint; and statistical software packages such as SAS and Emblem.
Good planning, analytical, decision-making, and communication skills.
Solid understanding of business to improve business outcomes.
Intermediate SQL and Snowflake skills.

Nice To Haves

Mathematics, Economics, Statistics, or another quantitative field of study.
Familiarity with Python and Cortex.
Experience with qualitative and/or unstructured data.
An inquisitive, collaborative mindset and comfort working across teams.

Responsibilities

Perform complex analysis within Snowflake and SAS with strategic impact on business operations and/or functional groups.
Use quantitative and qualitative data in customer research to drive insights and uncover customer pain points.
Synthesize data from internal and external sources to produce meaningful observations and recommendations.
Present findings and recommendations and lead discussions with senior leadership at the functional or department level.
Work with non-traditional data sources across departments.
Provide advanced operational consulting support and improve reporting as necessary.