Pricing Optimization Analyst

Key Responsibilities

Pricing Model Operationalization & Analysis

• Support the day-to-day operationalization of advanced pricing, elasticity, and optimization models used to inform pricing decisions.
• Translate model outputs into executable pricing recommendations, business rules, implementation requirements, and clear decision support for business stakeholders.
• Maintain and validate key model inputs, pricing guardrails, decision rules, and operational parameters to support accurate and consistent pricing execution.
• Monitor model outputs and implemented pricing actions, identify anomalies or performance gaps, and support testing, validation, and continuous improvement of pricing capabilities.
• Track actual customer and financial performance against model expectations and develop feedback loops that improve future pricing recommendations and business outcomes.

Pricing Strategy, Competitive Intelligence & Automation

• Analyze pricing performance across products, markets, customer segments, and channels to identify opportunities to improve conversion, churn, revenue, ARPU, profitability, and competitive position.
• Monitor competitor pricing, promotions, speeds, bundles, fees, and market activity; maintain scalable competitive intelligence datasets, scorecards, and reporting.
• Develop repeatable analytical tools and workflows using SQL, Power BI, Excel, automation, and AI-enabled capabilities to improve the speed and consistency of pricing analysis and execution.
• Support pricing tests and post-implementation measurement by validating data, reconciling results, and translating performance into actionable recommendations.
• Partner cross-functionally with Advanced Analytics, Technology, Product, Finance, Marketing, Sales, and other teams to support model deployment, pricing implementation, and continuous process improvement.

Required Qualifications

• Bachelor's degree in Business, Finance, Economics, Data Analytics, Statistics, Mathematics, Marketing, or a related quantitative field, or equivalent experience, with 5+ years of experience in pricing, analytics, finance, strategy, revenue management, or a related analytical function.
• Strong analytical and technical skills, including proficiency in Excel and experience using SQL, Power BI, or similar analytical and business intelligence tools.
• Experience analyzing large datasets, developing reusable analytical tools, and translating quantitative results into clear business recommendations and decision support.
• Strong business and financial acumen with the ability to evaluate pricing impacts across customer behavior, revenue, profitability, and competitive dynamics.
• Excellent communication and data storytelling skills with the ability to synthesize complex analytical findings into concise, actionable recommendations for business stakeholders.
• Demonstrated ability to manage multiple priorities, adapt quickly to changing business needs, validate findings, and consistently deliver accurate, high-quality work with strong ownership and attention to detail.
• Proven ability to collaborate effectively across cross-functional teams and build trusted partnerships with analytical, technical, and business stakeholders.

Preferred

• Experience with pricing analytics, price elasticity, customer segmentation, experimentation, or optimization methodologies.
• Experience working with cloud data platforms such as BigQuery, Snowflake, or Azure and with Python or other analytical programming tools.
• Telecommunications, broadband, subscription-based services, or revenue management experience.
• Experience supporting deployment or operationalization of advanced analytics, predictive models, or decision-support tools.
• Experience leveraging automation, AI-assisted analytics, or emerging technologies to improve analytical workflows, quality control, monitoring, and business decision support.