Overview

TripleLift is seeking a data-driven Revenue Analyst to join our Revenue Operations team at the intersection of sales performance, commercial logic, and programmatic marketplace efficiency. In this role, you will partner with commercial leadership to translate complex datasets into actionable strategies that drive growth.

The ideal candidate pairs an ownership mentality with professional skepticism and deep curiosity, looking past surface-level metrics to uncover true pipeline dynamics. You must be fluent in leveraging AI and automation tools to eliminate administrative overhead, optimize workflows, and scale operational velocity.

Responsibilities

• Design and maintain automated performance dashboards utilized across the company from Individual Contributors (ICs) to the Executive Leadership Team (ELT).
• Audit and report on pipeline health and GTM activity inputs (e.g., meetings, email velocity, connection rates) within Salesforce to maintain data hygiene and provide recurring performance updates to sales leadership.
• Support the verification process for quarterly and annual variable compensation cycles, reconciling sales credit splits across both direct bookings and Open Exchange (OX) revenue attribution.
• Partner with Global Demand and Partner Management teams to evaluate Agency Holding Company deals by modeling margins, establishing standardized rate cards, and analyzing post-auction discounts and cash rebates to ensure sustainable commercial logic.
• Synthesize large-scale marketplace exchange datasets to deliver weekly business reviews, variance analyses, and pacing models that detect underlying macro revenue shifts.

Requirements

• Experience: 3–5 years of highly analytical experience operating within programmatic media analytics, AdTech marketplace yield analysis, or revenue/financial operations. Familiarity with AdTech ecosystem measures, acronyms, and programmatic pipelines is strongly preferred.
• Tech Stack: Expert-level mastery of spreadsheet modeling (Advanced Excel formulas, pivot tables, Sheets Queries) and enterprise BI frameworks (Omni, Looker, Tableau). Salesforce experience is a plus
• AI Fluency: Leverage AI architectures and low-code automation to move beyond individual hacks, building scalable, shared workflows for analyses and recurring reporting that reclaim capacity for high-value problem-solving.

Core Characteristics & Attributes:

• Incurably Curious: Digs past surface-level summaries to relentlessly peel back data layers and diagnose the root causes of revenue swings.
• Professionally Skeptical: Maintains a critical eye to catch data anomalies before they reach executives, tactfully challenging underlying business assumptions.
• Actionable Synthesis: Distills massive, complex datasets and abstract industry concepts into crystal-clear executive summaries and highly actionable solutions.
• Self-Directed Priority Champion: Thrives in commercial ambiguity, independently prioritizing high-impact tasks and managing bandwidth effectively to deliver on promises.