Senior Pricing Analyst

Assurant

. Analyze performance across products, price bands, plan types, clients, markets, channels, and customer groups .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $88,000 - $147,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in pricing analytics, statistical modeling, and financial analysis, with a strong ability to translate complex data into actionable business insights. Proficient in collaborating with cross-functional teams to support pricing decisions and develop strategic recommendations.

Highest-signal resume keywords

Pricing AnalyticsStatistical ModelingForecastingSQLData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical AnalysisRegressionHypothesis TestingSensitivity AnalysisFinancial Impact AssessmentAnalytical ModelingData AnalysisControlled Test DesignLarge Dataset ManagementBusiness Recommendations

Soft Skills

CollaborationCommunicationAnalytical ThinkingProblem Solving

Tools & Technologies

Power BIExcelPythonR

Industry Keywords

Revenue ManagementBusiness AnalyticsCustomer AnalyticsMarket AnalysisFinancial Analysis

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze performance across products, price bands, plan types, clients, markets, channels, and customer groups
Identify pricing opportunities, performance gaps, and emerging risks
Develop forecasts, financial scenarios, and sensitivity analyses
Build, validate, document, and maintain statistical models using regression, forecasting, segmentation, and time-series analysis
Design and evaluate structured pricing tests with hypotheses, comparison groups, success measures, sample requirements, decision criteria, and business guardrails
Assess statistical reliability and commercial significance of results while accounting for seasonality, promotions, product mix, channel mix, competitor activity, and market conditions
Incorporate competitor pricing, product structure, protection-plan coverage, promotional activity, and market changes into pricing recommendations
Partner with Product, Account Management, Finance, Actuarial, Data Science, Engineering, Operations, Legal, Compliance, and client-facing teams
Maintain traceable documentation for data sources, model versions, assumptions, test designs, approvals, pricing changes, and outcomes
Create dashboards, reports, and executive-ready materials communicating performance, opportunities, risks, financial impact, assumptions, confidence levels, and recommended actions
Coordinate analytical workstreams and cross-functional contributors without direct reports
Support pricing decisions across device and product protection programs

Requirements

What you’ll need

Bachelor's degree in economics, statistics, mathematics, data science, finance, business analytics, operations research, engineering, or a related quantitative field, or equivalent relevant professional background where permitted by company policy
Minimum of 3 years in pricing analytics, revenue management, financial analysis, business analytics, marketing analytics, customer analytics, applied statistics, or a related quantitative role
Ability to analyze transactional, sales, product, pricing, customer, or program performance data and work with large datasets from multiple sources
Track record of developing analytical models and translating quantitative findings into clear business recommendations
Strong knowledge of statistical analysis, including regression, hypothesis testing, confidence intervals, sampling, and model evaluation
Experience designing or evaluating controlled tests, comparison groups, pilot programs, or phased business changes
Proficiency in forecasting, scenario modeling, sensitivity analysis, and financial impact assessment
Familiarity with SQL and at least one analytical programming language, preferably Python or R
Advanced Excel capabilities
Proficiency with data visualization and business intelligence tools such as Power BI
Employment contingent upon completion of a required identity verification process, which may include biometric technology where permitted by applicable law
Virtual interviews must be conducted on video

Benefits

Comp & perks

100% virtual work arrangement
Salary growth within the position
U.S. benefit information available
International benefit information available through recruiter
Up to 5% travel
No direct reports; opportunity to coordinate analytical workstreams and cross-functional contributors