Pricing Optimization Analyst

Tier4Group; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Tier4 Group is seeking a Sr. Pricing Analyst to remotely support pricing strategy for its US-based core EST business hours.

The role focuses on operationalizing pricing models, translating outputs into actionable pricing actions, and monitoring performance to drive revenue and profitability. The incumbent will collaborate across Analytics, Technology, Product, Finance, Marketing, and Sales to deploy models, automate workflows, and improve decision support using SQL, Power BI, Excel, Python, and

Qualifications

• Bachelor's degree or equivalent experience in a quantitative field with 3+ years in pricing/analytics/finance/strategy, etc.

Responsibilities

• Operationalize advanced pricing, elasticity, and optimization models for pricing decisions.

Skills

Analytical thinking

Excel

SQL

Power BI

Python

BigQuery

Snowflake

Azure

Data storytelling

Cross-functional collaboration

Pricing analytics

Price elasticity

Customer segmentation

Experimentation

Education

Bachelor's degree in Business, Finance, Economics, Data Analytics, Statistics, Mathematics, Marketing, or related quantitative field

Tools

SQL

Power BI

Excel

Python

BigQuery

Snowflake

Azure

Job description

Sr. Pricing Analyst

Remote within the US, Supporting Core EST Business Hours

Contract

Position Overview

The Pricing Optimization Analyst supports the development, execution, and ongoing optimization of pricing strategies across our client's Consumer business. This role is focused on operationalizing advanced pricing models, translating model outputs into executable pricing actions, monitoring pricing performance, and delivering competitive and analytical insights that improve business decisions. The successful candidate combines strong analytical thinking with commercial judgment, technical aptitude, accountability, adaptability, and a passion for building scalable pricing capabilities in a fast-paced environment.

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 3+ 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.
• 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.