Remote Senior Pricing Analyst — Growth & Strategy

Assurant, Inc.

Northern (KY)

Remote

USD 88,000 - 147,000

Full time

3 days ago

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Job summary

Assurant, Inc. is seeking a Senior Pricing Analyst for a 100% remote role. You will analyze performance across devices, price bands, and markets, and build statistical models to forecast outcomes and test pricing strategies.

You will collaborate with Product, Finance, Data Science, and Operations to implement pricing changes and measure impact. The role requires strong quantitative skills, experience in pricing analytics, and proficiency with SQL, Python/R, Excel, and Power BI.

Qualifications

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.
A minimum of 3 years in pricing analytics, revenue management, financial analysis, business analytics, marketing analytics, customer analytics, applied statistics, or a related quantitative role.
Demonstrated ability to analyze transactional, sales, product, pricing, customer, or program performance data and work with large datasets from multiple sources.
Proven 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.
Background in 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, along with advanced Excel capabilities.
Proficiency with data visualization and business intelligence tools such as Power BI.

Responsibilities

Analyze performance across products, price bands, plan types, clients, markets, channels, and customer groups, including relationships among price, sales volume, conversion, revenue, margin, and loss costs.
Identify pricing opportunities, performance gaps, and emerging risks, and develop forecasts, financial scenarios, and sensitivity analyses to estimate the business impact of pricing alternatives.
Build, validate, document, and maintain statistical models using methods such as regression, forecasting, segmentation, time-series analysis, and other appropriate quantitative techniques.
Design and evaluate structured pricing tests with defined hypotheses, comparison groups, success measures, sample requirements, decision criteria, and business guardrails.
Assess whether observed results are statistically reliable and commercially meaningful 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 analysis and recommendations.
Partner across Product, Account Management, Finance, Actuarial, Data Science, Engineering, Operations, Legal, Compliance, and client-facing teams to implement and measure pricing decisions.
Maintain traceable documentation for data sources, model versions, analytical assumptions, test designs, approvals, pricing changes, and outcomes, while supporting continuous improvement in pricing processes and data quality.
Create dashboards, reports, and executive-ready materials that communicate performance, opportunities, risks, financial impact, assumptions, confidence levels, and recommended actions.