Senior Pricing Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate performance across various products, pricing tiers, plan categories, clients, markets, channels, and customer segments.

• Recognize pricing opportunities, performance deficiencies, and potential risks.

• Generate forecasts, financial scenarios, and conduct sensitivity analyses.

• Construct, validate, document, and sustain statistical models utilizing regression, forecasting, segmentation, and time-series analysis.

• Design and assess structured pricing experiments including hypotheses, comparison groups, success metrics, sample requirements, decision criteria, and business safeguards.

• Evaluate the statistical reliability and commercial relevance of outcomes while considering seasonality, promotions, product mix, channel mix, competitive actions, and market conditions.

• Integrate competitor pricing, product configurations, protection-plan coverage, promotional efforts, and market shifts into pricing strategies.

• Collaborate with Product, Account Management, Finance, Actuarial, Data Science, Engineering, Operations, Legal, Compliance, and client-facing teams.

• Ensure traceable documentation for data origins, model iterations, assumptions, test frameworks, approvals, pricing modifications, and results.

• Develop dashboards, reports, and materials suitable for executive presentation that convey performance, opportunities, risks, financial implications, assumptions, confidence levels, and suggested actions.

• Coordinate analytical initiatives and cross-functional contributors without direct supervisory authority.

• Assist in pricing decisions across device and product protection initiatives.

⛳️ Requirements

• Bachelor’s degree in economics, statistics, mathematics, data science, finance, business analytics, operations research, engineering, or a related quantitative discipline, or an equivalent relevant professional experience as permitted by company policy.

• At least 3 years of experience in pricing analytics, revenue management, financial analysis, business analytics, marketing analytics, customer analytics, applied statistics, or a similar quantitative position.

• Capability to analyze transactional, sales, product, pricing, customer, or program performance data and handle large datasets from diverse sources.

• Proven history of developing analytical models and converting quantitative insights into clear business recommendations.

• In-depth knowledge of statistical analysis, including regression, hypothesis testing, confidence intervals, sampling, and model assessment.

• Experience in designing or assessing controlled trials, comparison groups, pilot initiatives, or phased business modifications.

• Expertise in forecasting, scenario modeling, sensitivity analysis, and assessing financial impacts.

• Familiarity with SQL and at least one analytical programming language, preferably Python or R.

• Advanced proficiency in Excel.

• Competence in data visualization and business intelligence tools such as Power BI.

• Employment is contingent upon the successful completion of a required identity verification process, which may incorporate biometric technology where allowed by applicable law.

• Virtual interviews must be conducted via video.

🏝️ Benefits

• Fully remote work arrangement.

• Opportunities for salary advancement within the role.

• U.S. benefit details provided.

• International benefit information available through the recruiter.

• Up to 5% travel required.

• No direct reports; possibility to coordinate analytical projects and cross-functional contributors.