Senior Analyst, Advanced Analytics - Marketing Optimization

📌 Core Information

🔹 Job Title: Senior Analyst, Advanced Analytics - Marketing Optimization

🔹 Company: Liberty Mutual Insurance

🔹 Location: Boston, MA & Seattle, WA

🔹 Job Type: Full-time, Hybrid

🔹 Category: Insurance, Data Science

🔹 Date Posted: July 7, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site with remote flexibility

🚀 Job Overview

Key aspects of this role include:

• Developing lifetime value models and datasets for key marketing analysis
• Optimizing growth strategy through advanced analysis
• Collaborating with cross-functional teams to drive business decisions
• Leveraging strong technical and analytical skills to influence growth strategies

ASSUMPTION: This role requires a strong background in data analysis, statistical principles, and relevant software tools. The ideal candidate will have experience in insurance metrics and their drivers.

📋 Key Responsibilities

✅ Conduct analyses and provide recommendations to optimize U.S. Retail Markets marketing spend

✅ Improve efficiency of lifetime value processes and create new diagnostics

✅ Advocate Efficient Growth decision framework and principles

✅ Own stakeholder relationships and collaborate on cross-functional analytical projects

✅ Lead weekly and bi-weekly meetings to share key trends across Product, Distribution, and Marketing teams

✅ Drive forward lifetime value models which predict the total value of a customer

✅ Manage both the identification and translation of emerging trends into actionable data to stakeholders

✅ Model inclusiveness by living our values and contribute to creating an inclusive culture

ASSUMPTION: The role involves a mix of independent work and collaboration, requiring strong communication and teamwork skills.

🎯 Required Qualifications

Education: Bachelor's Degree

Experience: 3+ years, typically 4 or more years of experience

Required Skills:

• Advanced knowledge of data sources, tools, statistical principles, and methodologies
• Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, SQL, Emblem)
• Good planning, analytical, decision-making, and communication skills
• Solid understanding of business to improve business outcomes

Preferred Skills:

• Mathematics, Economics, Statistics, or other quantitative field of study

ASSUMPTION: While not explicitly stated, proficiency in Python or R would be beneficial for this role.

💰 Compensation & Benefits

Salary Range: $85,000 - $120,000 per year (based on industry standards for a Senior Analyst role in the Insurance industry)

Benefits:

• Comprehensive benefits package
• Continuous learning opportunities

Working Hours: Full-time, typically 40 hours per week

ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the candidate's experience and location.

📌 Applicant Insights

🔍 Company Context

Industry: Insurance, specifically Property and Casualty Insurance

Company Size: 10,001+ employees (Enterprise-level)

Founded: 1912

Company Description:

• Liberty Mutual is a global property and casualty insurer, ranked 8th largest globally based on 2023 gross written premium
• Emphasizes providing protection for the unexpected and delivering it with care
• Offers a wide range of insurance products and services

Company Specialties:

• Insurance

Company Website: http://www.libertymutualgroup.com

ASSUMPTION: Liberty Mutual is a well-established company with a strong focus on growth and innovation in the insurance industry.

📊 Role Analysis

Career Level: Mid-level, with opportunities for growth and development

Reporting Structure: This role reports to the Efficient Growth team within USRM Data Science (USDS)

Work Arrangement: Hybrid, with a mix of on-site and remote work

Growth Opportunities:

• Potential to influence top organizational priorities and support business growth
• Opportunities to collaborate with various teams and develop a broad understanding of the business
• Chance to grow within the role as the organization continues to focus on profitable growth

ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to expand their skills and advance their career within the organization.

🌍 Location & Work Environment

Office Type: Hybrid, with a mix of on-site and remote work

Office Location(s): Boston, MA & Seattle, WA

Geographic Context:

• Boston, MA: A major city with a vibrant business environment and a high cost of living
• Seattle, WA: A tech hub with a moderate cost of living and a strong job market

Work Schedule: Full-time, typically 40 hours per week, with some flexibility for remote work

ASSUMPTION: The hybrid work arrangement allows for a good balance between on-site collaboration and remote flexibility.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video call with a hiring manager or HR representative
• On-site or virtual interview with the hiring team
• Final round interview with senior leadership

Key Assessment Areas:

• Technical skills and knowledge of data analysis and statistical principles
• Problem-solving and analytical skills
• Communication and teamwork skills
• Cultural fit and alignment with Liberty Mutual's values

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on data analysis, statistical principles, and industry-specific knowledge
• Tailor your cover letter to demonstrate your understanding of the role and your fit with Liberty Mutual's values
• Prepare for behavioral interview questions that focus on your problem-solving skills, teamwork, and adaptability

ATS Keywords: Data Analysis, Statistical Principles, Excel, SAS, SQL, Emblem, Marketing Optimization, Customer Value, Business Understanding, Collaboration, Decision-Making

ASSUMPTION: Liberty Mutual uses Applicant Tracking Systems (ATS) to screen resumes, so including relevant keywords can improve the chances of your application being seen by a human recruiter.

🛠️ Tools & Technologies

• Excel (VBA, macros, scripts, formulas, data visualization)
• PowerPoint
• Statistical software packages (SAS, SQL, Emblem)
• Python or R (beneficial)

ASSUMPTION: Proficiency in Python or R would be beneficial for this role, as they are widely used in data analysis and modeling.

👔 Cultural Fit Considerations

Company Values:

• Put People First
• Act Responsibly
• Deliver Results
• Embrace Change
• Value Diversity

Work Style:

• Collaborative and team-oriented
• Data-driven and analytical
• Adaptable and open to change

Self-Assessment Questions:

• Do I have a strong commitment to putting people first and acting responsibly?
• Am I comfortable working in a collaborative, data-driven environment?
• Can I adapt to change and embrace new challenges?

ASSUMPTION: Liberty Mutual values a diverse and inclusive work environment, and candidates who can demonstrate a strong fit with these values will be more successful in the interview process.

⚠️ Potential Challenges

• Working with large and complex datasets may present technical challenges
• Balancing on-site and remote work may require strong time management and communication skills
• Collaborating with various teams may require navigating different work styles and priorities
• Working in a hybrid environment may present unique challenges related to communication and collaboration

ASSUMPTION: These challenges can be overcome with strong technical skills, effective communication, and a willingness to adapt to different work environments.

📈 Similar Roles Comparison

• This role is similar to a Senior Data Analyst or Senior Marketing Analyst position, but with a specific focus on marketing optimization and customer value
• Liberty Mutual's enterprise-level size and global presence offer unique opportunities for growth and development
• Career paths in this role may lead to senior leadership positions within the data science or marketing functions

ASSUMPTION: While this role shares similarities with other data analyst positions, its unique focus on marketing optimization and customer value sets it apart.

📝 Sample Projects

• Developing a predictive model to identify high-value marketing channels
• Analyzing customer lifetime value trends to optimize marketing spend
• Collaborating with cross-functional teams to drive forward lifetime value models and support growth decisions

ASSUMPTION: These sample projects demonstrate the role's focus on data-driven decision-making and collaboration with various teams to drive business growth.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits within the organization?
• How does this role support Liberty Mutual's focus on profitable growth?
• What opportunities are there for growth and development within this role?
• How does the hybrid work arrangement balance on-site collaboration and remote flexibility?
• What are the key priorities for this role in the first 90 days?

ASSUMPTION: Asking thoughtful questions demonstrates your interest in the role and provides valuable insights into the work environment and company culture.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight relevant experience and skills, focusing on data analysis, statistical principles, and industry-specific knowledge
• Write a cover letter that demonstrates your understanding of the role and your fit with Liberty Mutual's values
• Prepare for behavioral interview questions that focus on your problem-solving skills, teamwork, and adaptability
• Follow up with the hiring manager or HR representative one week after your interview to express your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.