Sr Pricing Analyst

Assurant; United States; Remote; USD 88,000 - 147,000; Full time

Benefits offered by this job

100% virtual work

Global exposure

Job summary

Assurant seeks a Senior Pricing Analyst to support pricing decisions across device and product protection programs. You will build models, run forecasts, and design tests to quantify business impact, collaborating with Product, Finance, and Data Science teams.

Candidates should have strong quantitative skills, commercial judgment, and the ability to communicate results to technical and nontechnical stakeholders. This is a 100% virtual role with global scope.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent professional background.
• Minimum 3 years in pricing analytics, revenue management, or related analytics role.
• Ability to analyze large, multi-source datasets and translate findings into business recommendations.
• Proven track record of developing analytical models and communicating results clearly.
• Strong knowledge of regression, hypothesis testing, and model evaluation.
• Experience with controlled tests, experiment design, and calibration of pricing strategies.
• Forecasting, scenario modeling, and financial impact assessment expertise.
• Proficiency with SQL and at least one programming language (Python or R); advanced Excel.
• Experience with data visualization and Power BI preferred.

Responsibilities

• Analyze performance across products, price bands, plan types, clients, markets, channels, and customer groups.
• Identify pricing opportunities and risks; develop forecasts and sensitivity analyses.
• Build and validate statistical models (regression, time-series, segmentation).
• Design and evaluate pricing tests with clear hypotheses and guardrails.
• Assess statistical reliability and commercial significance considering seasonality and mix effects.
• Incorporate competitor pricing and market changes into pricing analyses and recommendations.
• Collaborate with Product, Finance, Data Science, and other teams to implement pricing decisions.
• Maintain documentation of data sources, model versions, assumptions, and outcomes.
• Create dashboards and executive-ready materials communicating performance and recommended actions.

Skills

Pricing analytics

SQL

Python

R

Excel advanced

Power BI

Forecasting

Statistical analysis

Modeling techniques

Experiment design

Education

Bachelor’s degree in economics, statistics, mathematics, data science, finance, business analytics, operations research, engineering, or related quantitative field

Master’s degree (preferred) in a quantitative discipline

Tools

SQL

Python

R

Excel

Power BI

Job description

The Senior Pricing Analyst supports pricing decisions across device and product protection programs by combining internal performance data, market intelligence, customer response data, and financial inputs. This role evaluates how price, product configuration, channel, customer behavior, competitive position, and market conditions influence program performance and turns complex analysis into practical recommendations.

You will build analytical models, design and evaluate structured business tests, develop forecasts and scenarios, and help establish repeatable processes for measuring pricing outcomes. Success requires strong quantitative skills, commercial judgment, curiosity, and the ability to communicate clearly with both technical and nontechnical stakeholders.

What will be my duties and responsibilities in this job?

• Analyze performance across products, price bands, plan types, clients, markets, channels, and customer groups, including relationships among price, sales volume, attachment or 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.

What are the requirements needed for this position?

• 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.
• 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.

What other skills/experience would be helpful to have?

• Master’s degree in economics, statistics, data science, business analytics, operations research, finance, or a related quantitative discipline.
• Prior experience in retail, e-commerce, insurance, warranties, protection plans, subscription products, telecommunications, or another transaction-intensive business.
• Analyzing attachment rates, conversion rates, product demand, customer purchasing behavior, or promotional performance.
• Experimental design, causal inference, quasi-experimental methods, advanced econometrics, optimization models, or decision-support tools.
• Experience with cloud data platforms, data warehouses, Databricks, or similar analytical environments.
• Familiarity with model governance, analytical controls, audit trails, and responsible use of customer- or segment-level data.
• Former experience partnering with client, merchant, account, or product teams to implement and measure pricing changes.

Why This Role

This role offers broad exposure to pricing, customer behavior, financial performance, and competitive dynamics across U.S. and international markets. You will have the opportunity to shape pricing recommendations, improve how pricing tests are designed and measured, and influence decisions that affect revenue, margin, and program profitability while collaborating with a wide range of business and technical partners.

Location and Travel

• Work arrangement: 100% virtual
• Geographic scope: Global, with responsibility across the United States and international markets.
• Travel: Up to 5%.
• People management: No direct reports; may coordinate analytical workstreams and cross-functional contributors.

#LI-Remote

Pay Range:

$88,000.00 - $147,000.00

Any posted pay range considers a wide range of compensation factors, including candidate background, experience and work location, while also allowing for salary growth within the position.

If there is no posting end date listed then this is a pipeline requisition, and we will continue to collect applications on an ongoing basis.

Helping People Thrive in a Connected World

Connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at jobs.assurant.com.

For U.S. benefit information, visit myassurantbenefits.com. For benefit information outside the U.S., please speak with your recruiter.

What’s the culture like at Assurant?

Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.

Company Overview

Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.

AI and Biometric Usage

Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Since we would like to know the real you, we require that all of our virtual interviews be conducted on video.

Employment is contingent upon completion of a required identity verification process, which may include biometric technology, where permitted by applicable law and subject to applicable notice and consent requirements. See our Privacy Notice to learn about Assurant’s privacy practices, including our use of AI-enabled technology, automated decision making, and biometric information.

Equal Opportunity Statement

Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.