Pricing & Risk Analyst
The Pricing & Risk Analyst at Confidential Client is an entry-level role focused on analyzing state-level insurance performance data to identify profitable growth opportunities and inform pricing strategies. The analyst uses AI tools and data analytics to generate insights on quote volume, retention, and loss experience, collaborating with business partners to support data-driven decision-making in a remote-first environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, homeowners insurance (insurtech).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Position summary
Confidential Client is seeking an entry-level Pricing & Risk Analyst to support state-level performance analysis, pricing insights, and segmentation work. This is a full-time, remote-friendly role with the authoritative location for this posting set to: Idaho, AL, US. Estimated annual pay (from source listing): $83,648 per year (estimated).
About the client
Confidential Client builds homeowner-focused insurance products using data and technology to make coverage clearer, fairer, and more affordable. The company is remote-first and uses modern analytics and AI-assisted workflows to scale insights across states and product segments.
The opportunity
As a Pricing & Risk Analyst you will help identify where Confidential Client can grow profitably by analyzing state performance, segmentation, and product mix. You’ll translate policy, quote, and claims data into clear recommendations for pricing, underwriting, and business strategy. This role is entry-level and built for someone curious, detail-oriented, and eager to learn on-the-job with mentorship from experienced pricing and risk colleagues.
What you’ll do
- Own recurring state performance reporting on quote volume, quote-to-bind conversion, new business, premium, retention, and loss experience; investigate drivers of change
- Analyze performance across geography, risk characteristics, coverage, and channels to surface growth opportunities and segments for review
- Evaluate how proposed rate changes, underwriting rules, and shifts in business mix could affect growth and profitability
- Build and maintain competitive research to inform state comparisons and product/pricing opportunities
- Use Databricks Genie and Claude Code to explore data, write SQL, build analytical scripts, automate reports, and document findings
- Bring business context into analytical workflows through approved data connections and validate AI-assisted outputs before relying on them
- Deliver clear charts and concise summaries for Pricing & Risk and partner teams; develop recommendations alongside senior teammates
- Measure performance after pricing, underwriting, and product changes are deployed
Success in this role
In your first 6–12 months you’ll focus on accurate, timely analyses that inform decisions. By the end of year one you should be a trusted owner of recurring reporting, able to independently handle analyses and contribute to profitable state growth recommendations.
What you’ll bring
- 0–2 years of relevant experience (internships, coursework, analytic projects count)
- Bachelor’s degree in economics, statistics, mathematics, actuarial science, finance, business, computer science, or equivalent practical experience
- Foundational SQL skills and strong spreadsheet proficiency (Excel or equivalents)
- Experience analyzing data to identify patterns, investigate questions, and explain findings clearly
- Hands-on experience using AI for analytical or coding tasks (academic or personal projects count) and willingness to use Claude Code, Databricks Genie, and approved data workflows regularly
- Attention to detail and the judgment to verify AI-generated outputs before relying on them
- Ability to explain findings in plain language, stay curious, and manage assignments with guidance
Nice to have
- Familiarity with Claude Code, Databricks Genie, or approved MCP connections
- Exposure to P&C insurance, pricing, underwriting, or risk analysis
- Experience with Python, data visualization, or statistical analysis
- A project demonstrating use of AI to analyze data, validate results, and communicate recommendations
Compensation & employment type
- Employment type: Full-time
- Estimated pay (source): $83,648 per year (estimated)
How we hire
Careertakes supports a transparent, human-centered hiring process. Recruiters may use AI tools for efficiency, but candidate evaluations and hiring decisions are made by people. The client will provide timeline and next-step details to candidates who move forward.
Where you’ll work / eligibility
This posting’s authoritative location: Idaho, AL, US. The role is remote-friendly; candidates must be authorized to work in the United States and able to comply with any state-specific employment requirements the hiring client enforces.
Benefits & support
Confidential Client offers a competitive benefits package (examples from source listing):
- Competitive salary and company equity (RSUs where applicable)
- 401(k) with company match up to 4%
- Medical, dental, and vision plan options; company HSA contributions where applicable
- Company-paid life insurance and short-term disability
- Flexible PTO (typical usage 15–20 days per year) and paid parental leave options
- Mental health resources and professional development support
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.
To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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