Consultant, Advanced Analytics: Embedded Optimization Analytics

Liberty Mutual

Liberty Mutual

Data Science

Boston, MA, USA

Posted on May 23, 2026

Consultant, Advanced Analytics: Embedded Optimization Analytics

Job Locations US-MA-Boston | US-Remote | US-WA-Seattle | US-TX-Plano | US-OH-Columbus | US-NH-Portsmouth
ID
2026-76014
Position Type
Full-Time
Job Grade
16
Department
0066-04750 SPG I&S
Market
US Retail Markets
Minimum Salary
USD $94,000.00/Yr.
Maximum Salary
USD $176,000.00/Yr.
Typical Starting Salary
$110,000 - $155,800
Recruiter
Christina Kacmar
Internal Application Deadline
6/1/2026
Referral Bonus Eligible?
No

Description

SPG I&S Analytics is looking for a highly analytical, strategic, and execution-oriented Consultant to help build and scale our Embedded Optimization Analytics capability.

Embedded insurance has evolved from an emerging capability into a meaningful growth engine. As we scale across API, Quote Widget, and other partner integration models, we need stronger analytics to understand performance, identify optimization opportunities, and translate insights into incremental new business growth.

This role will serve as a dedicated analytics partner to the embedded insurance program, helping move the organization from basic KPI reporting toward proactive monitoring, customer journey insights, conversion optimization, and scalable test-and-learn capabilities. The person in this role will work cross-functionally with partner teams, product, experience, data science, underwriting, and data partners to improve embedded program performance and support growth.

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

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Job Responsibilities:

• Monitor embedded partner performance across key metrics including quotes, binds, conversion, reject rates, bridge rate, and rate dislocation

• Identify performance issues and optimization opportunities across API, Quote Widget, and other embedded models

• Analyze drivers of partner performance and recommend actions to improve results

• Support post-launch monitoring for new partners and major integration changes

• Evaluate impacts of changes to defaults, mapping, filters, and other program levers

• Partner with Experience, Product, Data Office, Data Science, and business teams to enable deeper insights and execution

• Help establish repeatable reporting, monitoring, and measurement frameworks for embedded optimization

This role may be for you if you:

• Are energized by building a capability that does not fully exist today

• Enjoy moving between strategic questions and hands-on analysis

• Can identify what matters most in a complex funnel

• Are comfortable working with imperfect data while also helping define the path to a better future state

• Know how to influence action, not just produce analysis

Qualifications

  • Bachelor's Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
  • Master's Degree preferred; advanced education may be substituted for years of experience (Ph.D. with no professional experience).
  • Deep knowledge of data sources, tools and business drivers.
  • Ability to apply advanced analytical concepts to improve business outcomes.
  • Ability to build analytic tools that will be used by business teams to analyze results and opportunities.
  • Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
  • Must have good planning, analytical, decision-making and communication skills.
  • Ability to present data, visually and verbally, to guide conversations with business managers.

Employees may apply for a new role after completing 12 months of employment in their current position.

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