Pricing Analyst

Pricing Analyst

A global enterprise data and analytics program is expanding its contract analytics capability to deliver deeper pricing, product and contractual insight across customer agreements. The initiative focuses on transforming previously unstructured contractual data into normalized, analytics-ready datasets that support pricing transparency, commercial decision making, product optimization and revenue protection. As part of this work, we are seeking an experienced Pricing Analyst to support the development of pricing intelligence models, commercial analytics and business rules across multiple product portfolios.

The Pricing Analysts will work alongside product, commercial, data engineering and analytics teams to define, validate and operationalize pricing structures extracted from customer agreements and supporting commercial systems. The roles will play a critical part in translating complex pricing models and contractual constructs into standardized analytical outputs that can be consumed across Sales, Finance, Product and Operations teams.

Key Responsibilities:

• Analyze customer pricing models across products, services and contractual agreements.
• Interpret commercial terms including pricing schedules, volume tiers, discounts, minimum commitments and uplift clauses.
• Support the normalization and standardization of pricing constructs across multiple business units and product lines.
• Define business rules and analytical logic required to model customer pricing accurately.
• Partner with Data Engineering teams to translate pricing requirements into scalable analytical datasets.
• Validate pricing outputs and support data quality assurance activities.
• Assist in the identification of pricing anomalies, leakage opportunities and commercial optimization opportunities.
• Work closely with Product, Finance, Sales Operations and Commercial teams to resolve pricing ambiguities and define standards.

Successful candidates will contribute to:

• Increased transparency of customer pricing arrangements.
• Improved pricing standardization and normalization across products.
• Identification of pricing inconsistencies and commercial opportunities.
• Delivery of analytics-ready pricing datasets for downstream reporting and AI use cases.
• Reduction in manual effort associated with pricing interpretation and analysis.