Deal Desk Analyst – US Commercial Operations

ZoetisParsippany-Troy Hills, NJ
Hybrid

About The Position

Support disciplined, customer-centric deal execution by qualifying requests, modeling economics, coordinating approvals, and ensuring adherence to pricing guardrails and compliance. Drive faster cycle times, stronger price realization, and robust documentation. This job is hiring for two positions; final track alignment will be based on your strengths and interest. Track A: Strategic Contracts Owner (Largest Clients; Sales-facing), Track B: Commercial Business Insights and Workflow Design Lead (Business requirements → BI delivery; BI/Engineering-facing)

Requirements

  • Bachelor’s in Business, Finance, Economics, Analytics, Engineering, or related.
  • 2–5 years in Deal Desk, Pricing, Commercial Operations, or Finance in pharma/animal health/life sciences or regulated B2B
  • Strong Excel and financial modeling
  • Understanding of unit economics, gross-to-net (GTN), rebates, and accruals.
  • Demonstrated comfort operating in time-sensitive environments with competing priorities and incomplete information.
  • Deep understanding of relational databases and data concepts (e.g., tables, keys, joins, data quality, lineage) and the ability to retrieve/validate data using appropriate tools (may include query languages and/or workflow/analytics tools such as SQL-enabled environments, Alteryx, BI platforms).
  • Familiarity with CRM (e.g., Salesforce) and CLM; awareness of CPQ concepts.
  • Strong process discipline, communication, stakeholder management, and documentation skills.
  • Process- and detail-oriented; strong follow-through.
  • Analytical and responsive to time-sensitive requests.
  • Comfortable navigating ambiguity; able to create structure and drive alignment through influence.

Nice To Haves

  • BI/reporting tools (Power BI/Tableau) experience strongly preferred.

Responsibilities

  • Intake, triage, and qualify non-standard deal requests; ensure submission completeness.
  • Model price-volume scenarios, rebate constructs, tiered discounts, and product/portfolio profitability; recommend options within guardrails; prepare approval packages with unit economics and GTN impacts.
  • Apply approval matrices and delegation of authority; route deals, track conditions, and verify compliance; maintain accurate records in CRM/CLM and Deal Desk repositories.
  • Execute post-deal checks; compare expected vs. realized price/volume; identify margin leakage; maintain KPI inputs and validation for dashboards; provide structured feedback to Pricing Strategy.
  • Operate effectively in ambiguity—identify what’s missing, define next steps, align stakeholders, and drive decisions.
  • Own the commercial “quarterback” role for a set of the largest/most complex customers—driving deal execution end-to-end from intake through approval, contracting coordination, and post-deal follow-through.
  • Interface tightly with Sales/Key Accounts and serve as a strong, customer-aware internal advocate for disciplined deal structures.
  • Influence and challenge: push back when needed on deal requests that don’t align to guardrails, economics, or risk posture; propose alternative structures that meet customer needs while protecting the business.
  • Drive cross-functional alignment (Pricing Strategy, Finance, Legal, Customer Ops) and ensure clear decisioning, documentation, and audit-ready rationale.
  • Identify repeatable contract/deal patterns and help improve playbooks, templates, and operating mechanisms that reduce cycle time.
  • Learn end-to-end commercial processes deeply (including edge cases) and translate ambiguity into clear business requirements, definitions, and measurable outcomes.
  • Find and communicate stories with data: insights that influence pricing/deal behavior, surface leakage, and improve execution.
  • Partner with IT/Data/Analytics and BI/data science teams to prioritize and deliver high-quality reporting and visualizations (clear definitions, usability, adoption).
  • Lead tooling/workflow improvements and automation to reduce manual effort, improve data quality, and strengthen governance (documentation, validation checks, metric definitions).
  • Establish lightweight intake and prioritization mechanisms so stakeholders know what’s coming, why, and when.

Benefits

  • Full time Regular Colleague
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