Sr Pricing Analyst

Overview

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 translates complex analysis into practical recommendations.

Responsibilities

• 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; develop forecasts, financial scenarios, and sensitivity analyses to estimate 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, 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; support 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.

Requirements

• 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.
• 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.
• Proficiency 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.

Preferred Qualifications

• 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.
• Experience analyzing attachment rates, conversion rates, product demand, customer purchasing behavior, or promotional performance.
• Familiarity with experimental design, causal inference, quasi-experimental methods, advanced econometrics, optimization models, or decision-support tools.
• Experience with cloud data platforms and data warehouses, including Databricks or similar analytical environments.
• Familiarity with model governance, analytical controls, audit trails, and responsible use of customer- or segment-level data.
• Prior experience partnering with client, merchant, account, or product teams to implement and measure pricing changes.

Compensation & Benefits

Pay range: $88,000.00 - $147,000.00

Location & Work Arrangement

• 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.

Application Deadline

Expected application deadline: 10/16/2026