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Senior Data Analyst, Product Research - job 2 of 3

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

*This is a combined range posting (Data Analyst & Sr. Data Analyst). Level offered will be based on candidate experience at manager discretion*

 

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

 

Join our Liberty Mutual Small Commercial team building market-leading products and experiences while guiding the strategy for several small commercial lines of business. This role is part of Line Of Business Management, supporting GL, Umbrella, and Farm lines. In this role, you will focusing primarily on countrywide analytics and strategy support.

Under general direction, you will provide moderate to highly complex analysis, providing insights and recommendations that guide decisions to support both profit and growth. The ideal candidate for this role will be a naturally curious thinker that has experience leveraging data sources to provide actionable insights, build business cases to support strategic decisions, and present findings to leadership teams across the organization.

 

Responsibilities:

  • Conducts moderate to highly complex analysis under general direction.
  • Queries data to conduct ad hoc and formal analysis of metrics to help drive and support business decisions.
  • Builds tools and queries for others to use.
  • Serves as point person for moderate to highly complex analysis, analyzing trends for tactical and strategic recommendations.
  • Consults on complex business issues and design considerations, including researching, identifying and proposing changes to our product offerings
  • Leads own or cross-functional workstreams on medium to long-term or moderate to high complexity projects.
  • May manage aspects of low to moderate complexity projects.
  • Provides thoughtful and actionable recommendations that support strategic vision.
  • Presents work to managers, senior leaders, stakeholders and occasionally Chief Product Officer in a clear and concise manner.
  • Assists in conducting competitive intelligence and review of market trends and competitor filings utilizing various sources.
  • Actively shares job knowledge and/or leads job shadow discussion with less experienced analysts.
  • May create and/or be the owner of training material content, may create formal training sessions and modules.
  • May manage ADP’s or interns, may be assigned to mentor a new hire.

 

The ideal candidate will have:

  • Small commercial product knowledge (general liability, Umbrella liability, Farm and Ranch) although applicants with limited knowledge of commercial insurance products will be considered.
  • Bachelor's degree in business, economics, or other quantitative field.
  • Minimum 3 years, typically 4 years or more of relevant work experience.
  • Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, SQL, Snowflake).
  • Experience with Think-cell and creating Power BI dashboards preferred.
  • Must have good planning, organizational, analytical, decision making and communication skills

Qualifications

  • Bachelor's degree in mathematics, economics, statistics, or other quantitative field.
  • Minimum 3 years relevant work experience, typically 4 years.
  • Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem).
  • Must have strong planning, organizational, analytical, decision making and communication skills.

About Us

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.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/BenefitsLiberty 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

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

Average salary estimate

$85000 / YEARLY (est.)
min
max
$70000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Analyst, Product Research, UNAVAILABLE

If you're a naturally curious thinker with a penchant for data and insightful analysis, consider applying for the Senior Data Analyst position at Liberty Mutual. This exciting remote opportunity allows you to join our Small Commercial team, where you will play a pivotal role in shaping market-leading products and strategies across various lines of business, including General Liability, Umbrella, and Farm. Your primary focus will be on conducting detailed analytics to support our profit and growth strategies. As a Senior Data Analyst, you'll tackle moderate to highly complex analyses, extracting actionable insights from diverse data sources to present to senior leaders and stakeholders. You'll also have the chance to create tools and queries that empower your colleagues, all while delivering thoughtful recommendations that guide strategic decisions. We are looking for a candidate with a strong analytical background, preferably with a bachelor’s degree in a quantitative field and several years of relevant experience. Proficiency in Excel and statistical software like SAS and SQL is essential, while experience in visualization tools like Power BI is a plus. In this role, you'll lead workstreams on projects that require cross-functional collaboration, and your insights will directly influence our product offerings. If you thrive in a dynamic environment and are passionate about driving business results through data, Liberty Mutual's Senior Data Analyst role could be the perfect fit for you!

Frequently Asked Questions (FAQs) for Senior Data Analyst, Product Research Role at UNAVAILABLE
What are the responsibilities of a Senior Data Analyst at Liberty Mutual?

The role of a Senior Data Analyst at Liberty Mutual involves conducting complex analyses to support strategic decision-making. You will query data to derive insights, build analytical tools, and present findings to leadership. Additionally, you are expected to lead projects, analyze trends, and provide actionable recommendations that align with the company's profit and growth strategies.

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What qualifications do I need to apply for the Senior Data Analyst position at Liberty Mutual?

To be considered for the Senior Data Analyst role at Liberty Mutual, candidates should hold a bachelor's degree in a quantitative field such as mathematics or economics. A minimum of 3 years of relevant work experience is required, along with strong proficiency in Excel, PowerPoint, and statistical analysis software like SAS and SQL. Familiarity with commercial insurance products is preferred, albeit not mandatory.

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What skills are essential for a Senior Data Analyst position at Liberty Mutual?

Essential skills for the Senior Data Analyst position at Liberty Mutual include analytical and decision-making abilities, strong organizational skills, and excellent communication. Technical proficiency with Excel, statistical software, and tools like Power BI will also aid in delivering actionable insights and effectively presenting work to stakeholders.

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How does Liberty Mutual support the development of its Senior Data Analysts?

Liberty Mutual fosters an environment of continuous learning and development. As a Senior Data Analyst, you will have access to training materials, opportunities for mentorship, and the chance to lead sessions for less experienced colleagues. This commitment to professional growth ensures that you can build a meaningful and successful career within the company.

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What is the work culture like for a Senior Data Analyst at Liberty Mutual?

Liberty Mutual promotes a diverse, equitable, and inclusive workplace where employees feel a sense of community and belonging. As a Senior Data Analyst, you will work collaboratively across teams while being supported by a culture that values hard work, integrity, and commitment to making things better.

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Common Interview Questions for Senior Data Analyst, Product Research
Can you describe your experience with data analysis tools in the context of a Senior Data Analyst role?

When answering, focus on specific tools you’ve used, such as Excel or SQL, and share examples of how you utilized them to derive meaningful insights. You might want to explain how your analyses contributed to strategic decisions at previous jobs.

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How do you ensure the accuracy of your data analysis?

Discuss your approach to data validation, including cross-referencing data sources, checking for anomalies, and your process for ensuring that data insights align with business objectives.

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Share an example of a complex project you handled as a data analyst.

Outline the project by detailing the objectives, the analytical methods you used, and the outcomes. Highlight how your work influenced the decision-making process and contributed to company goals.

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How do you approach communicating data insights to stakeholders?

Discuss the importance of tailoring your communication style to your audience, using visuals for clarity, and how you ensure that your insights are actionable and relevant to the stakeholders.

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What strategies do you use for multi-tasking and managing projects in a cross-functional team?

Offer examples of tools and techniques you’ve employed to manage your time and projects effectively, emphasizing your organizational skills and ability to collaborate.

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Can you explain a time when your analysis led to a significant business impact?

Provide a specific instance where your insights led to a change in strategy or operations, reflecting on the situation, your contributions, and the resulting impact on the business.

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How do you stay updated on industry trends and data analysis techniques?

Talk about your habits for research and professional development, such as attending workshops, following industry blogs, or participating in relevant forums to continuously enhance your skills and knowledge.

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How would you prioritize tasks and projects in your role?

Elaborate on your method for evaluating project urgency and importance, prioritizing tasks that align with broader business objectives and deadlines to ensure efficiency and effectiveness.

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What role does teamwork play in data analysis?

Explain how collaboration with different departments enhances data analysis outcomes, citing examples of how working with diverse teams has led to richer insights and stronger strategic recommendations.

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What is your experience with competitive intelligence analysis?

Share your background in analyzing competitor data, discussing how it informed product development or strategy decisions in previous roles, and your skills in identifying market trends.

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DEPARTMENTS
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TEAM SIZE
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HQ LOCATION
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 20, 2025

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