Role Description The Analyst, Pricing Analytics, will create pricing analytics reporting and pricing automation tools. This is an individual contributor role with the autonomy to design and build a suite of new reporting and business insights, with a focus on leveraging AI. You will also research and document complex data issues, support historical data remediation, and partner cross-functionally to drive adoption and change management. This role supports data accuracy and data governance policies and reports to the Senior Director, Pricing Analytics and Data Governance. - Design and build global pricing analytics reporting and automated pricing tools. - Research, document, and communicate complex data issues related to historical contract data, offline pricing data, and go-forward data collection processes. - Develop documentation (data definitions, business rules, process flows, data lineage) to support governance, training, and scalability. - Collaborate cross-functionally to understand end-to-end pricing and contracting processes and support change management. - Define requirements and success metrics for new pricing dashboards, KPIs, and self-service reporting experiences. - Build standardized datasets/data models to enable consistent pricing, discount, and contract analytics across regions/products. - Support historical data remediation efforts: prioritize issues, define clean-up rules, and validate corrected outputs with stakeholders. - Establish and monitor an ongoing reporting cadence for leadership (monthly/quarterly pricing performance, discount trends, renewal pricing insights). - Create and maintain data quality checks (reconciliations, exception reporting, audit trails) to ensure pricing and contract data accuracy. - Prototype and evaluate AI-enabled use cases (e.g., anomaly detection, contract term extraction, pricing recommendations) in partnership with stakeholders. - Manage an intake and delivery backlog for analytics and automation enhancements, aligning scope, timelines, dependencies, and stakeholder expectations. Qualifications - Bachelor’s Degree in Finance or Data-related field - 1-3 years of relevant experience in project management, financial modeling, and/or data analytics - Strong financial modeling and analytical skills with attention to detail and accuracy. - Proficiency in Excel and PowerPoint - Experience designing dashboards and analytical data models (e.g., BI semantic layers) that enable self-service reporting. - Experience with Power BI, Microsoft Dynamics, SQL is a plus. - Strong communication and interpersonal skills, with the ability to work cross-functionally and influence stakeholders. - Excellent verbal and written communication skills - Self-starter with a continuous improvement mindset and the ability to independently manage multiple priorities, drive a variety of projects and workstreams, and deliver timely and accurate results in a remote-first environment Requirements - Stay Curious: Being hungry to learn and grow, always asking the big questions. - Seek Clarity: Embracing complexity to create clarity and inspire action. - Own the Outcome: Being accountable for decisions and taking ownership of our choices. - Center on the Client: Relentlessly adding value for our customers. - Be a Challenger: Never complacent, always striving for continuous improvement. - Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity. - Commit to each other: Contributing to making Circana a great place to work for everyone. Benefits - Comprehensive package of benefits including paid time off - Medical/dental/vision insurance - 401(k) to eligible employees Location This position can be located in the following area(s): Fully Remote (US) or Hybrid (Chicago, IL). Compensation The salary range for this role is $75K to $85K. This range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range.

• Review and refine AI-generated outputs related to pricing models, strategy development, analytical considerations, and practical pricing workflows • Evaluate AI responses for financial soundness, practicality, and compliance with real-world pricing best practices • Draft realistic pricing scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. pricing analyst, finance leader, sales manager, or business owner) • Identify gaps, oversights, or weak reasoning in AI-generated pricing content

• Review and refine AI-generated outputs related to pricing models, strategy development, analytical considerations, and practical pricing workflows • Evaluate AI responses for financial soundness, practicality, and compliance with real-world pricing best practices • Draft realistic pricing scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. pricing analyst, finance leader, sales manager, or business owner) • Identify gaps, oversights, or weak reasoning in AI-generated pricing content

• Develop channel specific and portfolio contract strategies in line with Business Unit sales goals • Align strategy with Sales, Marketing, Medical and Managed Care functions • Develop analytics-driven contract strategies • Support market access strategies for inline and pipeline products • Ensure financial and data integrity in partnership with Trade Operations and Managed Markets Finance • Act as a subject matter expert for GPO and distribution network